Type  Name 
Files  Added  Size  DLs   

Learning Probabilistic Models: An Expected Utility Maximization Approach

1 
20140428 
271.70kB 
55  2+ 
0 

Lossless Online Bayesian Bagging

1 
20140428 
383.90kB 
41  1+ 
0 

PREA: Personalized Recommendation Algorithms Toolkit

1 
20140428 
290.79kB 
43  1+ 
0 

Feature Selection via Dependence Maximization

1 
20140428 
1.55MB 
40  3+ 
0 

Importance Sampling for Continuous Time Bayesian Networks

1 
20140428 
246.97kB 
31  1+ 
0 

Shark(Machine Learning Open Source Software Paper)

1 
20140428 
503.86kB 
78  1+ 
0 

Designing Committees of Models through Deliberate Weighting of Data Points

1 
20140428 
237.35kB 
27  1+ 
0 

Learning Evaluation Functions to Improve Optimization by Local Search

1 
20140428 
568.36kB 
35  1+ 
0 

Facilitating Score and Causal Inference Trees for Large Observational Studies

1 
20140428 
355.27kB 
28  1+ 
0 

Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels

1 
20140428 
231.51kB 
81  4+ 
0 

Learnability, Stability and Uniform Convergence

1 
20140428 
331.23kB 
25  2+ 
0 

Using Markov Blankets for Causal Structure Learning(Special Topic on Causality)

1 
20140428 
506.99kB 
34  1+ 
0 

On Overfitting in Model Selection and Subsequent Selection Bias in Performance Evaluation

1 
20140428 
759.29kB 
29  1+ 
0 

Entropy Search for InformationEfficient Global Optimization

1 
20140428 
891.10kB 
27  2+ 
0 

MinimaxOptimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming

1 
20140428 
316.40kB 
33  3+ 
0 

Local and Global Scaling Reduce Hubs in Space

1 
20140428 
388.42kB 
40  1+ 
0 

Finding Recurrent Patterns from Continuous Sign Language Sentences for Automated Extraction of Signs

1 
20140428 
982.84kB 
29  1+ 
0 

Introduction to Special Issue on Independent Components Analysis

1 
20140428 
259.60kB 
24  2+ 
0 

A Compression Approach to Support Vector Model Selection

1 
20140428 
1.36MB 
44  2+ 
0 

Special Issue on the Eighteenth International Conference on Machine Learning (ICML2001)

1 
20140428 
443.41kB 
25  3+ 
0 

Continuous Time Bayesian Network Reasoning and Learning Engine

1 
20140428 
34.13kB 
32  4+ 
0 

Learning Semantic Lexicons from a PartofSpeech and Semantically Tagged Corpus Using Inductive Logic Programming

1 
20140428 
533.07kB 
38  1+ 
0 

A Unified View of Performance Metrics: Translating Threshold Choice into Expected Classification Loss

1 
20140428 
563.39kB 
28  1+ 
0 

Statistical Dynamics of Online Independent Component Analysis

1 
20140428 
1.02MB 
28  1+ 
0 

Latent Dirichlet Allocation

1 
20140428 
388.44kB 
24  1+ 
0 

Model Averaging for Prediction with Discrete Bayesian Networks

1 
20140428 
251.42kB 
31  2+ 
0 

On the Equivalence of Linear DimensionalityReducing Transformations

1 
20140428 
336.14kB 
22  2+ 
1 

MultiAssignment Clustering for Boolean Data

1 
20140428 
604.58kB 
23  1+ 
0 

A Kernel TwoSample Test

1 
20140428 
479.88kB 
26  1+ 
1 

On the Necessity of Irrelevant Variables

1 
20140428 
299.76kB 
19  1+ 
0 

A Local Spectral Method for Graphs: With Applications to Improving Graph Partitions and Exploring Data Graphs Locally

1 
20140428 
968.87kB 
32  1+ 
0 

Extensions to MetricBased Model Selection

1 
20140428 
657.99kB 
24  1+ 
0 

Restricted Strong Convexity and Weighted Matrix Completion: Optimal Bounds with Noise

1 
20140428 
280.20kB 
22  1+ 
0 

Erratum: SGDQN is Less Careful than Expected

1 
20140428 
998.43kB 
24  1+ 
0 

Minimax Manifold Estimation

1 
20140428 
2.33MB 
30  1+ 
0 

A Neural Probabilistic Language Model

1 
20140428 
242.24kB 
49  1+ 
1 

Lagrangian Support Vector Machines (Kernel Machines Section)

1 
20140428 
280.39kB 
42  2+ 
0 

Pairwise Support Vector Machines and their Application to Large Scale Problems

1 
20140428 
262.89kB 
27  1+ 
0 

Lyapunov Design for Safe Reinforcement Learning

1 
20140428 
1.13MB 
27  1+ 
0 

Approximations for Binary Gaussian Process Classification

1 
20140428 
62.86kB 
25  1+ 
0 

Sally: A Tool for Embedding Strings in Vector Spaces

1 
20140428 
413.35kB 
24  1+ 
0 

Rational Kernels: Theory and Algorithms (Special Topic on Learning Theory)

1 
20140428 
322.05kB 
29  1+ 
0 

A Robust Minimax Approach to Classification

1 
20140428 
523.76kB 
24  1+ 
0 

No Unbiased Estimator of the Variance of KFold CrossValidation

1 
20140428 
214.69kB 
25  1+ 
0 

KnowledgeBased Kernel Approximation

1 
20140428 
152.55kB 
24  1+ 
0 

Regularized Discriminant Analysis, Ridge Regression and Beyond

1 
20140428 
332.20kB 
27  1+ 
0 

Comments on the Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion

1 
20140428 
439.54kB 
26  1+ 
0 

On the Rate of Convergence of Regularized Boosting Classifiers

1 
20140428 
198.89kB 
20  1+ 
0 

Ultraconservative Online Algorithms for Multiclass Problems

1 
20140428 
6.70MB 
23  1+ 
0 

Nash QLearning for GeneralSum Stochastic Games

1 
20140428 
780.70kB 
27  1+ 
0 

RMAX  A General Polynomial Time Algorithm for NearOptimal Reinforcement Learning

1 
20140428 
101.23kB 
22  1+ 
0 

Security Analysis of Online Centroid Anomaly Detection

1 
20140428 
912.39kB 
59  3+ 
0 

Collective Inference for Extraction MRFs Coupled with Symmetric Clique Potentials

1 
20140428 
465.78kB 
20  1+ 
0 

Exploration in Relational Domains for Modelbased Reinforcement Learning

1 
20140428 
697.87kB 
23  1+ 
0 

Online Choice of Active Learning Algorithms

1 
20140428 
518.47kB 
50  2+ 
0 

Algorithms for Sparse Linear Classifiers in the Massive Data Setting

1 
20140428 
386.10kB 
29  2+ 
0 

Composite Binary Losses

1 
20140428 
706.13kB 
21  1+ 
0 

OnLine Sequential Bin Packing

1 
20140428 
166.10kB 
23  1+ 
0 

Quantum Set Intersection and its Application to Associative Memory

1 
20140428 
404.25kB 
25  1+ 
0 

Modelbased Boosting 2.0

1 
20140428 
103.27kB 
20  1+ 
0 

Covariance in Unsupervised Learning of Probabilistic Grammars

1 
20140428 
383.37kB 
22  1+ 
0 

Hit Miss Networks with Applications to Instance Selection

1 
20140428 
195.86kB 
22  1+ 
0 

LpNested Symmetric Distributions

1 
20140428 
3.37MB 
17  1+ 
0 

ILP: A Short Look Back and a Longer Look Forward

1 
20140428 
11.60kB 
24  1+ 
0 

Inducing TreeSubstitution Grammars

1 
20140428 
1.12MB 
28  1+ 
0 

Linear Algorithms for Online Multitask Classification

1 
20140428 
402.57kB 
23  1+ 
0 

A Convergent Online Single Time Scale Actor Critic Algorithm

1 
20140428 
325.61kB 
26  1+ 
0 

Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels

1 
20140428 
642.66kB 
48  1+ 
0 

Boosting as a Regularized Path to a Maximum Margin Classifier

1 
20140428 
1.26MB 
24  2+ 
0 

Support Vector Machine Soft Margin Classifiers: Error Analysis

1 
20140428 
2.70MB 
30  3+ 
0 

EnergyBased Models for Sparse Overcomplete Representations

1 
20140428 
218.01kB 
23  1+ 
0 

Sufficient Dimensionality Reduction (Kernel Machines Section)

1 
20140428 
195.34kB 
24  1+ 
0 

FINkNN: A Fuzzy Interval Number kNearest Neighbor Classifier for Prediction of Sugar Production from Populations of Samples

1 
20140428 
360.76kB 
27  1+ 
0 

Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting

1 
20140428 
662.38kB 
30  1+ 
0 

PACBayesian Analysis of Coclustering and Beyond

1 
20140428 
614.96kB 
26  1+ 
0 

ConfidenceWeighted Linear Classification for Text Categorization

1 
20140428 
2.04MB 
24  1+ 
0 

Eliminating Spammers and Ranking Annotators for Crowdsourced Labeling Tasks

1 
20140428 
449.19kB 
44  1+ 
0 

NearOptimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies

1 
20140428 
43.19kB 
45  1+ 
0 

Generalized Expectation Criteria for SemiSupervised Learning with Weakly Labeled Data

1 
20140428 
682.23kB 
41  1+ 
0 

Preference Elicitation via Theory Refinement

1 
20140428 
164.76kB 
21  1+ 
0 

The Representational Power of Discrete Bayesian Networks

1 
20140428 
457.49kB 
27  1+ 
0 

Transfer in Reinforcement Learning via Shared Features

1 
20140428 
434.22kB 
20  1+ 
0 

PACBayes Bounds with Data Dependent Priors

1 
20140428 
325.02kB 
23  1+ 
0 

Limitations of Learning Via Embeddings in Euclidean Half Spaces

1 
20140428 
283.79kB 
21  1+ 
0 

Smoothing Multivariate Performance Measures

1 
20140428 
858.61kB 
22  1+ 
0 

Concentration Inequalities for the Missing Mass and for Histogram Rule Error

1 
20140428 
323.71kB 
21  1+ 
0 

On the Importance of Small Coordinate Projections

1 
20140428 
215.55kB 
20  1+ 
0 

A Multiscale Framework For Blind Separation of Linearly Mixed Signals

1 
20140428 
3.36MB 
24  1+ 
0 

On the Rate of Convergence of the Bagged Nearest Neighbor Estimate

1 
20140428 
193.66kB 
19  1+ 
0 

The Principled Design of LargeScale Recursive Neural Network ArchitecturesDAGRNNs and the Protein Structure Prediction Problem

1 
20140428 
926.73kB 
37  1+ 
0 

Reinforcement Learning with Factored States and Actions

1 
20140428 
210.67kB 
23  1+ 
0 

Regret Bounds and Minimax Policies under Partial Monitoring

1 
20140428 
386.70kB 
21  1+ 
0 

Generalization from Observed to Unobserved Features by Clustering

1 
20140428 
133.38kB 
20  1+ 
0 

A QuasiNewton Approach to Nonsmooth Convex Optimization Problems in Machine Learning

1 
20140428 
1.32MB 
30  1+ 
0 

Algorithms for Learning Kernels Based on Centered Alignment

1 
20140428 
266.60kB 
23  1+ 
0 

Stability Bounds for Stationary mixing and mixing Processes

1 
20140428 
207.79kB 
23  1+ 
0 

Sparse Spectrum Gaussian Process Regression

1 
20140428 
178.39kB 
25  1+ 
0 

Blind Separation of Postnonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation

1 
20140428 
918.89kB 
23  1+ 
0 

LeastSquares Policy Iteration

1 
20140428 
312.97kB 
21  1+ 
0 

Random Search for HyperParameter Optimization

1 
20140428 
728.27kB 
22  1+ 
0 

A Family of Additive Online Algorithms for Category Ranking

1 
20140428 
418.00kB 
24  1+ 
0 

Path Kernels and Multiplicative Updates

1 
20140428 
131.87kB 
18  1+ 
0 

Maxmargin Classification of Data with Absent Features

1 
20140428 
292.24kB 
20  1+ 
0 

Fast and Scalable Local Kernel Machines

1 
20140428 
425.91kB 
36  1+ 
0 

Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers

1 
20140428 
277.92kB 
30  1+ 
0 

Exact Bayesian Structure Discovery in Bayesian Networks

1 
20140428 
173.90kB 
26  1+ 
0 

Iterative Reweighted Algorithms for Matrix Rank Minimization

1 
20140428 
335.72kB 
23  1+ 
0 

Classification Using Geometric Level Sets

1 
20140428 
1.04MB 
21  1+ 
0 

Mixability is Bayes Risk Curvature Relative to Log Loss

1 
20140428 
429.80kB 
21  1+ 
0 

Consistent Nonparametric Tests of Independence

1 
20140428 
369.96kB 
22  1+ 
0 

Probability Estimates for Multiclass Classification by Pairwise Coupling

1 
20140428 
501.96kB 
20  1+ 
0 

Pattern for Python

1 
20140428 
94.19kB 
101  3+ 
0 

Linear FittedQ Iteration with Multiple Reward Functions

1 
20140428 
1.30MB 
18  1+ 
0 

Exact Covariance Thresholding into Connected Components for LargeScale Graphical Lasso

1 
20140428 
911.77kB 
20  1+ 
0 

On NearestNeighbor ErrorCorrecting Output Codes with Application to AllPairs Multiclass Support Vector Machines

1 
20140428 
161.92kB 
21  1+ 
0 

Topology Selection in Graphical Models of Autoregressive Processes

1 
20140428 
324.79kB 
19  1+ 
0 

Preference Elicitation and Query Learning (Special Topic on Learning Theory)

1 
20140428 
208.64kB 
24  1+ 
0 

Regularized Bundle Methods for Convex and NonConvex Risks

1 
20140428 
576.41kB 
21  1+ 
0 

Bouligand Derivatives and Robustness of Support Vector Machines for Regression

1 
20140428 
531.56kB 
29  1+ 
0 

GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression

1 
20140428 
43.28kB 
24  1+ 
0 

Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part II: Analysis and Extensions

1 
20140428 
1.94MB 
23  1+ 
0 

Bayes Point Machines (Kernel Machines Section)

1 
20140428 
977.43kB 
23  1+ 
0 

Hubs in Space: Popular Nearest Neighbors in HighDimensional Data

1 
20140428 
1.09MB 
24  1+ 
0 

Graph Kernels

1 
20140428 
1.56MB 
28  1+ 
0 

Largescale Linear Support Vector Regression

1 
20140428 
1.08MB 
28  2+ 
0 

A Geometric Approach to Sample Compression

1 
20140428 
501.02kB 
28  3+ 
0 

A Topic Modeling Toolbox Using Belief Propagation

1 
20140428 
61.47kB 
22  1+ 
0 

A Generalized Path Integral Control Approach to Reinforcement Learning

1 
20140428 
1.09MB 
25  1+ 
0 

WordSequence Kernels

1 
20140428 
13.79kB 
24  1+ 
0 

Characterization, Stability and Convergence of Hierarchical Clustering Methods

1 
20140428 
857.23kB 
22  1+ 
0 

Image Denoising with Kernels Based on Natural Image Relations

1 
20140428 
1.77MB 
34  3+ 
0 

Expectation Truncation and the Benefits of Preselection In Training Generative Models

1 
20140428 
1.44MB 
18  1+ 
0 

New Techniques for Disambiguation in Natural Language and Their Application to Biological Text

1 
20140428 
274.56kB 
41  1+ 
0 

Prior Knowledge and Preferential Structures in Gradient Descent Learning Algorithms

1 
20140428 
486.62kB 
28  1+ 
0 

Using Contextual Representations to Efficiently Learn ContextFree Languages

1 
20140428 
356.13kB 
20  1+ 
0 

Sparse Semisupervised Learning Using Conjugate Functions

1 
20140428 
331.42kB 
21  1+ 
0 

An Extension on "Statistical Comparisons of Classifiers over Multiple Data Sets" for all Pairwise Comparisons

1 
20140428 
343.90kB 
25  1+ 
0 

Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for LargeScale SVM Training

1 
20140428 
304.58kB 
22  1+ 
0 

Task Clustering and Gating for Bayesian Multitask Learning

1 
20140428 
285.47kB 
22  1+ 
0 

A Fast Algorithm for Joint Diagonalization with Nonorthogonal Transformations and its Application to Blind Source Separation

1 
20140428 
2.34MB 
26  1+ 
0 

An Efficient Explanation of Individual Classifications using Game Theory

1 
20140428 
690.80kB 
42  1+ 
0 

A Recursive Method for Structural Learning of Directed Acyclic Graphs

1 
20140428 
986.24kB 
25  1+ 
0 

Refinement of Operatorvalued Reproducing Kernels

1 
20140428 
458.86kB 
21  1+ 
0 

Evidence Contrary to the Statistical View of Boosting

1 
20140428 
973.13kB 
26  1+ 
0 

Approximate Tree Kernels

1 
20140428 
373.35kB 
20  1+ 
0 

Estimation of a Structural Vector Autoregression Model Using NonGaussianity

1 
20140428 
502.65kB 
22  1+ 
0 

Tree Induction vs. Logistic Regression: A LearningCurve Analysis

1 
20140428 
309.92kB 
27  1+ 
0 

Bayesian MixedEffects Inference on Classification Performance in Hierarchical Data Sets

1 
20140428 
1.70MB 
26  1+ 
0 

Online Learning in the Embedded Manifold of Lowrank Matrices

1 
20140428 
337.10kB 
23  1+ 
0 

Active Learning via Perfect Selective Classification

1 
20140428 
194.66kB 
24  1+ 
0 

On Online Learning of Decision Lists

1 
20140428 
523.75kB 
22  1+ 
0 

Variable Selection in Highdimensional Varyingcoefficient Models with Global Optimality

1 
20140428 
256.72kB 
25  1+ 
0 

Distributional Scaling: An Algorithm for StructurePreserving Embedding of Metric and Nonmetric Spaces

1 
20140428 
563.08kB 
27  1+ 
0 

Bundle Methods for Regularized Risk Minimization

1 
20140428 
1.84MB 
23  1+ 
0 

Highdimensional Variable Selection with Sparse Random Projections: Measurement Sparsity and Statistical Efficiency

1 
20140428 
205.18kB 
22  1+ 
0 

A Comparison of Optimization Methods and Software for Largescale L1regularized Linear Classification

1 
20140428 
6.47MB 
21  1+ 
0 

Selective Rademacher Penalization and Reduced Error Pruning of Decision Trees

1 
20140428 
129.91kB 
21  1+ 
0 

Selective Sampling and Active Learning from Single and Multiple Teachers

1 
20140428 
364.20kB 
26  1+ 
0 

Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance

1 
20140428 
240.55kB 
21  1+ 
0 

Learning Bounded Treewidth Bayesian Networks

1 
20140428 
3.18MB 
27  1+ 
0 

Consistent Model Selection Criteria on High Dimensions

1 
20140428 
147.59kB 
20  1+ 
0 

Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning

1 
20140428 
324.36kB 
20  1+ 
0 

Sampling Methods for the Nystrm Method

1 
20140428 
210.92kB 
19  1+ 
0 

Computable Shell Decomposition Bounds

1 
20140428 
226.90kB 
22  1+ 
0 

Learning NonStationary Dynamic Bayesian Networks

1 
20140428 
1.88MB 
24  1+ 
0 

Posterior Regularization for Structured Latent Variable Models

1 
20140428 
1.18MB 
19  1+ 
0 

Learning Algorithms for the Classification Restricted Boltzmann Machine

1 
20140428 
369.76kB 
22  1+ 
0 

Coherence Functions with Applications in LargeMargin Classification Methods

1 
20140428 
345.58kB 
16  1+ 
0 

On Spectral Learning

1 
20140428 
152.33kB 
17  1+ 
0 

SemiSupervised Novelty Detection

1 
20140428 
291.50kB 
17  1+ 
0 

Metric and Kernel Learning Using a Linear Transformation

1 
20140428 
473.91kB 
22  1+ 
0 

Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization

1 
20140428 
2.91MB 
28  1+ 
0 

Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers

1 
20140428 
649.08kB 
30  1+ 
0 

FastInf: An Efficient Approximate Inference Library

1 
20140428 
32.60kB 
26  1+ 
0 

Learning InstanceSpecific Predictive Models

1 
20140428 
474.95kB 
24  1+ 
0 

Probability Product Kernels (Special Topic on Learning Theory)

1 
20140428 
742.63kB 
31  1+ 
0 

Fast Approximation of Matrix Coherence and Statistical Leverage

1 
20140428 
285.26kB 
17  1+ 
0 

Introduction to the Special Issue on Machine Learning Methods for Text and Images

1 
20140428 
346.30kB 
32  1+ 
0 

Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains

1 
20140428 
256.29kB 
25  1+ 
0 

A Geometric Approach to MultiCriterion Reinforcement Learning

1 
20140428 
309.35kB 
19  1+ 
0 

Restricted Eigenvalue Properties for Correlated Gaussian Designs

1 
20140428 
153.45kB 
18  1+ 
0 

Blind Source Recovery: A Framework in the State Space

1 
20140428 
196.76kB 
21  1+ 
0 

Algorithmic Luckiness

1 
20140428 
414.67kB 
23  1+ 
0 

Learning with Mixtures of Trees

1 
20140428 
347.23kB 
16  1+ 
0 

A Comparison of the Lasso and Marginal Regression

1 
20140428 
953.29kB 
24  1+ 
0 

Algebraic Geometric Comparison of Probability Distributions

1 
20140428 
534.83kB 
25  1+ 
1 

Query Strategies for Evading ConvexInducing Classifiers

1 
20140428 
374.14kB 
19  1+ 
0 

Sign Language Recognition using SubUnits

1 
20140428 
2.39MB 
24  1+ 
0 

Why Does Unsupervised Pretraining Help Deep Learning?

1 
20140428 
1.29MB 
56  1+ 
0 

A Model of the Perception of Facial Expressions of Emotion by Humans: Research Overview and Perspectives

1 
20140428 
1.68MB 
55  1+ 
0 

Stability of DensityBased Clustering

1 
20140428 
2.21MB 
20  1+ 
0 

Regularized Principal Manifolds (Kernel Machines Section)

1 
20140428 
728.96kB 
21  1+ 
0 

BiasVariance Analysis of Support Vector Machines for the Development of SVMBased Ensemble Methods

1 
20140428 
345.18kB 
20  1+ 
0 

Subgroup Discovery with CN2SD

1 
20140428 
133.49kB 
23  1+ 
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Estimation and Selection via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications

1 
20140428 
264.28kB 
20  1+ 
0 

ConsensusBased Distributed Support Vector Machines

1 
20140428 
1.06MB 
20  1+ 
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NonSparse Multiple Kernel Fisher Discriminant Analysis

1 
20140428 
555.62kB 
26  1+ 
0 

The huge Package for Highdimensional Undirected Graph Estimation in R

1 
20140428 
339.26kB 
19  1+ 
0 

Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion

1 
20140428 
1.39MB 
40  1+ 
0 

MLFlex: A Flexible Toolbox for Performing Classification Analyses In Parallel

1 
20140428 
37.01kB 
23  1+ 
0 

MOA: Massive Online Analysis

1 
20140428 
82.21kB 
29  1+ 
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Dimensionality Reduction via Sparse Support Vector Machines (Kernel Machines Section)

1 
20140428 
200.16kB 
20  1+ 
0 

Introduction to the Special Issue on the Fusion of Domain Knowledge with Data for Decision Support

1 
20140428 
11.70kB 
21  1+ 
0 

Learning From Crowds

1 
20140428 
238.95kB 
19  1+ 
0 

Rate Minimaxity of the Lasso and Dantzig Selector for the lq Loss in lr Balls

1 
20140428 
201.79kB 
20  1+ 
0 

SVDFeature: A Toolkit for Featurebased Collaborative Filtering

1 
20140428 
224.99kB 
21  1+ 
0 

ICA for Watermarking Digital Images

1 
20140428 
3.44MB 
24  1+ 
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A Generative Model for Separating Illumination and Reflectance from Images

1 
20140428 
511.41kB 
20  1+ 
0 

Active Clustering of Biological Sequences

1 
20140428 
332.47kB 
21  1+ 
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Learning Rates for Qlearning

1 
20140428 
225.65kB 
20  1+ 
0 

A Rotation Test to Verify Latent Structure

1 
20140428 
291.84kB 
26  1+ 
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Tracking a Small Set of Experts by Mixing Past Posteriors

1 
20140428 
64.74kB 
18  1+ 
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Dependency Networks for Inference, Collaborative Filtering, and Data Visualization

1 
20140428 
294.25kB 
23  1+ 
0 

Introduction to the Special Issue on Inductive Logic Programming

1 
20140428 
708.77kB 
26  1+ 
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Oger: Modular Learning Architectures For LargeScale Sequential Processing

1 
20140428 
114.32kB 
22  1+ 
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Query Transformations for Improving the Efficiency of ILP Systems

1 
20140428 
337.20kB 
25  1+ 
0 

Efficient Algorithms for Universal Portfolios

1 
20140428 
358.86kB 
24  1+ 
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A Maximum Likelihood Approach to Singlechannel Source Separation

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738.33kB 
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Permutation Tests for Studying Classifier Performance

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295.57kB 
19  1+ 
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On the Foundations of Noisefree Selective Classification

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552.99kB 
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PyBrain

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71.14kB 
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On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition

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488.22kB 
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Speedup Learning for Repairbased Search by Identifying Redundant Steps

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167.45kB 
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The em Algorithm for Kernel Matrix Completion with Auxiliary Data

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144.75kB 
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Trading Regret for Efficiency: Online Convex Optimization with Long Term Constraints

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230.61kB 
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Matched Gene Selection and Committee Classifier for Molecular Classification of Heterogeneous Diseases

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548.81kB 
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Classification Methods with Reject Option Based on Convex Risk Minimization

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123.29kB 
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Some Properties of Regularized Kernel Methods

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215.97kB 
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An Exponential Model for Infinite Rankings

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392.92kB 
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Evolving Static Representations for Task Transfer

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9.96MB 
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RCV1: A New Benchmark Collection for Text Categorization Research

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394.83kB 
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Optimal Solutions for Sparse Principal Component Analysis

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308.86kB 
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Generalization Error Bounds for Bayesian Mixture Algorithms

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160.18kB 
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Model Selection: Beyond the BayesianFrequentist Divide

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222.72kB 
18  1+ 
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Relational Learning as Search in a Critical Region

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100.20kB 
21  1+ 
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The SHOGUN Machine Learning Toolbox

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37.24kB 
29  1+ 
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Regularization Techniques for Learning with Matrices

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242.01kB 
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LIBLINEAR: A Library for Large Linear Classification(Machine Learning Open Source Software Paper)

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1.43MB 
31  1+ 
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Greedy Algorithms for Classification  Consistency, Convergence Rates, and Adaptivity

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245.62kB 
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Gaussian Processes for Machine Learning (GPML) Toolbox

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55.05kB 
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Discriminative Hierarchical Partbased Models for Human Parsing and Action Recognition

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9.09MB 
25  1+ 
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Kronecker Graphs: An Approach to Modeling Networks

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1.29MB 
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Integrating a Partial Model into Model Free Reinforcement Learning

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328.43kB 
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A Streaming Parallel Decision Tree Algorithm

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512.65kB 
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The Entire Regularization Path for the Support Vector Machine

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184.62kB 
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Forecasting Web Page Views: Methods and Observations

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2.50MB 
24  1+ 
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Approximate Riemannian Conjugate Gradient Learning for FixedForm Variational Bayes

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553.64kB 
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On Learning with Integral Operators

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229.28kB 
28  3+ 
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Multi Kernel Learning with OnlineBatch Optimization

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351.51kB 
22  1+ 
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ErrorCorrecting Output Codes Library

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95.19kB 
18  1+ 
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Nearoptimal Regret Bounds for Reinforcement Learning

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358.46kB 
19  1+ 
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Mean Field Variational Approximation for ContinuousTime Bayesian Networks

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1.12MB 
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Learning over Sets using Kernel Principal Angles (Kernel Machines Section)

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144.51kB 
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Image Categorization by Learning and Reasoning with Regions

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149.86kB 
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Policy Search using Paired Comparisons

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178.54kB 
22  1+ 
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Optimal Distributed Online Prediction Using MiniBatches

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334.87kB 
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An Investigation of Missing Data Methods for Classification Trees Applied to Binary Response Data

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408.00kB 
22  1+ 
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Consistency of Random Forests and Other Averaging Classifiers

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235.86kB 
25  1+ 
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NoiseContrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics

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2.44MB 
17  1+ 
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Dynamic Policy Programming

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360.04kB 
25  1+ 
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WEKAExperiences with a Java OpenSource Project

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216.11kB 
76  1+ 
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Beyond Independent Components: Trees and Clusters

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239.11kB 
22  1+ 
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How to Explain Individual Classification Decisions

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1.64MB 
17  1+ 
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Training and Testing Lowdegree Polynomial Data Mappings via Linear SVM

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150.51kB 
21  1+ 
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Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation

1 
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339.80kB 
24  1+ 
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Maximum Relative Margin and DataDependent Regularization

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466.22kB 
17  1+ 
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Tree Decomposition for LargeScale SVM Problems

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403.78kB 
26  1+ 
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Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure

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295.45kB 
24  1+ 
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Blind Source Separation via Generalized Eigenvalue Decomposition

1 
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546.79kB 
20  1+ 
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Learning Translation Invariant Kernels for Classification

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398.68kB 
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Maximum Likelihood in CostSensitive Learning: Model Specification, Approximations, and Upper Bounds

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2.01MB 
18  1+ 
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Hilbert Space Embeddings and Metrics on Probability Measures

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530.50kB 
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TreeStructured Neural Decoding

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254.19kB 
20  1+ 
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Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling

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186.16kB 
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Bayesian Learning in Sparse Graphical Factor Models via Variational MeanField Annealing

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3.36MB 
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Practical Approaches to Principal Component Analysis in the Presence of Missing Values

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616.99kB 
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SecondOrder Bilinear Discriminant Analysis

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1.12MB 
19  1+ 
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Towards Integrative Causal Analysis of Heterogeneous Data Sets and Studies

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4.05MB 
21  1+ 
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Chromatic PACBayes Bounds for NonIID Data: Applications to Ranking and Stationary Mixing Processes

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237.71kB 
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Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models

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246.47kB 
16  1+ 
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MULTIBOOST: A Multipurpose Boosting Package

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40.06kB 
22  1+ 
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Introduction to the Special Issue on Learning Theory

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411.96kB 
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An Empirical Study of the Use of Relevance Information in Inductive Logic Programming

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97.69kB 
21  1+ 
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Messagepassing for Graphstructured Linear Programs: Proximal Methods and Rounding Schemes

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300.92kB 
18  1+ 
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Bounding the Probability of Error for High Precision Optical Character Recognition

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698.79kB 
27  1+ 
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Online Learning for Matrix Factorization and Sparse Coding

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4.17MB 
20  1+ 
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Learning Linear Cyclic Causal Models with Latent Variables

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516.05kB 
17  1+ 
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Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models

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319.91kB 
18  1+ 
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Classification with a Reject Option using a Hinge Loss

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299.31kB 
19  1+ 
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Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components

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337.60kB 
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ICA Using Spacings Estimates of Entropy

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534.27kB 
20  1+ 
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A Fast Hybrid Algorithm for LargeScale l1Regularized Logistic Regression

1 
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2.71MB 
18  1+ 
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Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces

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340.16kB 
23  1+ 
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Matching Words and Pictures

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241.45kB 
20  1+ 
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Robust Kernel Density Estimation

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457.80kB 
21  1+ 
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Efficient Algorithms for Conditional Independence Inference

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218.06kB 
19  1+ 
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Generalized Power Method for Sparse Principal Component Analysis

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303.39kB 
20  1+ 
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Classification with Incomplete Data Using Dirichlet Process Priors

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1.18MB 
21  1+ 
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Manifold Learning: The Price of Normalization

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320.12kB 
17  1+ 
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Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation

1 
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2.43MB 
22  1+ 
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Spectral Regularization Algorithms for Learning Large Incomplete Matrices

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569.20kB 
18  1+ 
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Weather Data Mining Using Independent Component Analysis

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168.93kB 
40  1+ 
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Large Scale Online Learning of Image Similarity Through Ranking

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1.17MB 
17  1+ 
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Incremental Sigmoid Belief Networks for Grammar Learning

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252.38kB 
27  1+ 
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Active Learning of Causal Networks with Intervention Experiments and Optimal Designs(Special Topic on Causality)

1 
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233.01kB 
21  1+ 
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Matrix Completion from Noisy Entries

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199.96kB 
22  1+ 
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A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design

1 
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323.66kB 
17  1+ 
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DistanceBased Classification with Lipschitz Functions (Special Topic on Learning Theory)

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153.01kB 
19  1+ 
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Combining Knowledge from Different Sources in Causal Probabilistic Models

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152.73kB 
22  1+ 
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Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifolds

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5.48MB 
27  1+ 
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Quadratic Programming Feature Selection

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358.44kB 
52  1+ 
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Efficient Feature Selection via Analysis of Relevance and Redundancy

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221.16kB 
25  1+ 
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On the Proper Learning of AxisParallel Concepts

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190.23kB 
21  1+ 
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Distance Metric Learning with Eigenvalue Optimization

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238.08kB 
21  1+ 
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Kernel Independent Component Analysis (Kernel Machines Section)

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481.88kB 
21  1+ 
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Consistency of Trace Norm Minimization

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168.85kB 
22  1+ 
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MalID: Automatic Malware Detection Using Common Segment Analysis and MetaFeatures

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486.14kB 
24  2+ 
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A MultiStage Framework for Dantzig Selector and LASSO

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246.48kB 
18  1+ 
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Stochastic Composite Likelihood

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749.14kB 
20  1+ 
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The Minimum Error Minimax Probability Machine

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196.39kB 
21  1+ 
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An Efficient Boosting Algorithm for Combining Preferences

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208.76kB 
20  1+ 
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Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence

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1.72MB 
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Sources of Success for Boosted Wrapper Induction

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166.05kB 
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PAClearnability of Probabilistic Deterministic Finite State Automata

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238.05kB 
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Multitask Regression using Minimal Penalties

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293.14kB 
21  1+ 
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Feature Discovery in NonMetric Pairwise Data

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255.36kB 
19  1+ 
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An Approximate Analytical Approach to Resampling Averages (Kernel Machines Section)

1 
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3.16MB 
27  1+ 
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On the Convergence Rate of lpNorm Multiple Kernel Learning

1 
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417.13kB 
26  1+ 
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SVMTorch: Support Vector Machines for LargeScale Regression Problems (Kernel Machines Section)

1 
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307.97kB 
28  1+ 
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A Unified Framework for Modelbased Clustering

1 
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338.53kB 
21  1+ 
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Robust Principal Component Analysis with Adaptive Selection for Tuning Parameters

1 
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3.30MB 
23  1+ 
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Inducing Grammars from Sparse Data Sets: A Survey of Algorithms and Results

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249.82kB 
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Benefitting from the Variables that Variable Selection Discards

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176.22kB 
13  1+ 
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Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs

1 
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1.84MB 
20  1+ 
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On InclusionDriven Learning of Bayesian Networks

1 
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245.65kB 
16  1+ 
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Jstacs: A Java Framework for Statistical Analysis and Classification of Biological Sequences

1 
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184.05kB 
42  1+ 
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Feature Selection for Unsupervised Learning

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317.56kB 
20  1+ 
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Overlearning in Marginal DistributionBased ICA: Analysis and Solutions

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2.09MB 
23  1+ 
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Learning the Kernel Matrix with Semidefinite Programming

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386.57kB 
29  1+ 
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In Defense of OneVsAll Classification

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73.11kB 
21  1+ 
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Learning Ensembles from Bites: A Scalable and Accurate Approach

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452.37kB 
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MLPs (MonoLayer Polynomials and MultiLayer Perceptrons) for Nonlinear Modeling

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183.69kB 
21  1+ 
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Fast String Kernels using Inexact Matching for Protein Sequences

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142.59kB 
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Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection

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706.10kB 
30  1+ 
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BottomUp Relational Learning of Pattern Matching Rules for Information Extraction

1 
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184.33kB 
28  1+ 
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Tracking the Best Linear Predictor

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476.95kB 
45  3+ 
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Linear Regression With Random Projections

1 
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586.31kB 
25  1+ 
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The Sample Complexity of Exploration in the MultiArmed Bandit Problem (Special Topic on Learning Theory)

1 
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174.52kB 
21  1+ 
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The Dynamics of AdaBoost: Cyclic Behavior and Convergence of Margins

1 
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168.45kB 
23  1+ 
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Structured Sparsity via Alternating Direction Methods

1 
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629.89kB 
30  1+ 
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An Introduction to Variable and Feature Selection (Kernel Machines Section)

1 
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763.45kB 
28  1+ 
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LargeSample Learning of Bayesian Networks is NPHard

1 
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342.07kB 
32  3+ 
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Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2

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267.56kB 
17  1+ 
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MultiTarget Regression with Rule Ensembles

1 
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328.30kB 
18  1+ 
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Static Prediction Games for Adversarial Learning Problems

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619.68kB 
24  2+ 
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Coupled Clustering: A Method for Detecting Structural Correspondence

1 
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111.02kB 
34  3+ 
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The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces (Kernel Machines Section)

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675.84kB 
26  1+ 
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HighDimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion

1 
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380.31kB 
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A New Algorithm for Estimating the Effective DimensionReduction Subspace

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292.05kB 
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MultiInstance Learning with Any Hypothesis Class

1 
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328.57kB 
23  1+ 
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Randomized Variable Elimination

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386.37kB 
20  1+ 
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Cluster Ensembles  A Knowledge Reuse Framework for Combining Multiple Partitions

1 
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29.62kB 
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Optimistic Bayesian Sampling in ContextualBandit Problems

1 
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9.99MB 
25  1+ 
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NIMFA : A Python Library for Nonnegative Matrix Factorization

1 
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35.81kB 
33  2+ 
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FiniteSample Analysis of LeastSquares Policy Iteration

1 
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290.03kB 
20  1+ 
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Ranking Individuals by Group Comparisons

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158.95kB 
22  1+ 
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MedLDA: Maximum Margin Supervised Topic Models

1 
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1.32MB 
21  1+ 
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EPGIG Priors and Applications in Bayesian Sparse Learning

1 
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1.23MB 
20  1+ 
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Learning Monotone DNF from a Teacher that Almost Does Not Answer Membership Queries

1 
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151.73kB 
20  1+ 
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Efficient Methods for Robust Classification Under Uncertainty in Kernel Matrices

1 
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395.10kB 
22  1+ 
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A Case Study on MetaGeneralising: A Gaussian Processes Approach

1 
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390.48kB 
23  1+ 
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Nonparametric Guidance of Autoencoder Representations using Label Information

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816.49kB 
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Ranking a Random Feature for Variable and Feature Selection

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142.45kB 
23  3+ 
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Optimization Techniques for SemiSupervised Support Vector Machines

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48.17kB 
18  1+ 
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On Boosting with Polynomially Bounded Distributions

1 
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285.32kB 
16  1+ 
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JNCC2: The Java Implementation Of Naive Credal Classifier 2(Machine Learning Open Source Software Paper)

1 
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184.93kB 
50  1+ 
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Efficient Algorithms for Decision Tree Crossvalidation

1 
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1.01MB 
27  1+ 
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Learning Symbolic Representations of Hybrid Dynamical Systems

1 
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1.99MB 
24  1+ 
1 

An Introduction to Artificial Prediction Markets for Classification

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382.03kB 
74  4+ 
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Rejoinder to Reponses to Evidence Contrary to the Statistical View of Boosting

1 
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362.15kB 
17  1+ 
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An Improved GLMNET for L1regularized Logistic Regression

1 
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549.24kB 
28  3+ 
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Positive Semidefinite Metric Learning Using Boostinglike Algorithms

1 
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520.97kB 
16  1+ 
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Kernel Methods for Relation Extraction

1 
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1.70MB 
25  1+ 
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Structured Sparsity and Generalization

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146.96kB 
19  1+ 
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Learning to Construct Fast Signal Processing Implementations

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283.99kB 
21  1+ 
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Use of the ZeroNorm with Linear Models and Kernel Methods (Kernel Machines Section)

1 
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230.27kB 
24  1+ 
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Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning

1 
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2.18MB 
18  1+ 
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Distributional Word Clusters vs. Words for Text Categorization (Kernel Machines Section)

1 
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140.10kB 
23  1+ 
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Online Submodular Minimization

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140.14kB 
16  1+ 
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Structural Learning of Chain Graphs via Decomposition

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809.44kB 
21  1+ 
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A Tutorial on Conformal Prediction

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75.34kB 
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Stationary Features and Cat Detection

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286.03kB 
18  1+ 
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MDPs: Learning in Varying Environments

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292.58kB 
21  1+ 
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Graphical Models for Structured Classification, with an Application to Interpreting Images of Protein Subcellular Location Patterns

1 
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162.58kB 
21  1+ 
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Rademacher and Gaussian Complexities: Risk Bounds and Structural Results

1 
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309.45kB 
17  1+ 
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Learning Probabilistic Models of Link Structure

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1.99MB 
26  1+ 
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DEAP: Evolutionary Algorithms Made Easy

1 
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302.54kB 
48  1+ 
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Stopping Criterion for BoostingBased Data Reduction Techniques: from Binary to Multiclass Problem

1 
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274.08kB 
21  1+ 
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The Set Covering Machine

1 
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599.85kB 
21  1+ 
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Learning Precise Timing with LSTM Recurrent Networks

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341.85kB 
30  1+ 
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Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space (Kernel Machines Section)

1 
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253.43kB 
35  3+ 
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A Divisive InformationTheoretic Feature Clustering Algorithm for Text Classification (Kernel Machines Section)

1 
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301.96kB 
19  1+ 
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Support Vector Machinery for Infinite Ensemble Learning

1 
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153.85kB 
18  1+ 
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Online Learning of Complex Prediction Problems Using Simultaneous Projections

1 
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490.02kB 
34  1+ 
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Closed Sets for Labeled Data

1 
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546.17kB 
17  1+ 
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Value Function Approximation using Multiple Aggregation for Multiattribute Resource Management

1 
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1.34MB 
27  1+ 
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Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective

1 
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293.98kB 
32  1+ 
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MultipleInstance Learning of RealValued Data

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7.10kB 
19  1+ 
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MultiAgent Reinforcement Learning in Common Interest and Fixed Sum Stochastic Games: An Experimental Study

1 
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31.04kB 
23  1+ 
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Aggregation of SVM Classifiers Using Sobolev Spaces

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197.61kB 
19  1+ 
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Minimal Kernel Classifiers (Kernel Machines Section)

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408.15kB 
29  1+ 
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Mixed Membership Stochastic Blockmodels

1 
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140.43kB 
19  1+ 
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Datadependent marginbased generalization bounds for classification

1 
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298.60kB 
18  1+ 
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Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming

1 
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275.99kB 
19  1+ 
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Causal Reasoning with Ancestral Graphs(Special Topic on Causality)

1 
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728.93kB 
20  1+ 
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Robust Submodular Observation Selection

1 
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25.34MB 
25  1+ 
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Magic Moments for Structured Output Prediction

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264.13kB 
18  1+ 
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Search for Additive Nonlinear Time Series Causal Models

1 
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784.42kB 
23  1+ 
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A Moment Bound for Multihinge Classifiers

1 
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4.12MB 
19  1+ 
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Learning Balls of Strings from Edit Corrections

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648.89kB 
20  1+ 
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Value Function Based Reinforcement Learning in Changing Markovian Environments

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382.70kB 
19  1+ 
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An Error Bound Based on a Worst Likely Assignment

1 
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163.13kB 
16  1+ 
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Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data

1 
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284.29kB 
19  1+ 
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Probabilistic Characterization of Random Decision Trees

1 
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231.52kB 
23  1+ 
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Learning to Combine Motor Primitives Via Greedy Additive Regression

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1.88MB 
20  1+ 
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An Information Criterion for Variable Selection in Support Vector Machines(Special Topic on Model Selection)

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764.43kB 
26  1+ 
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SimpleMKL

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843.95kB 
20  1+ 
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FiniteTime Bounds for Fitted Value Iteration

1 
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54.73kB 
19  1+ 
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Learning from Multiple Sources

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510.00kB 
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Randomized Online PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension

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306.69kB 
17  1+ 
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Bayesian Inference and Optimal Design for the Sparse Linear Model

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448.97kB 
132  3+ 
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Finding Optimal Bayesian Network Given a SuperStructure

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356.67kB 
19  1+ 
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Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers

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449.20kB 
22  1+ 
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Gradient Tree Boosting for Training Conditional Random Fields

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2.50MB 
23  1+ 
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Exponentiated Gradient Algorithms for Conditional Random Fields and MaxMargin Markov Networks

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252.23kB 
17  1+ 
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Active Learning by Spherical Subdivision

1 
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560.53kB 
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Nearly Uniform Validation Improves CompressionBased Error Bounds

1 
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194.19kB 
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Discriminative Learning of MaxSum Classifiers

1 
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1.53MB 
21  1+ 
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Multiclass Discriminant Kernel Learning via Convex Programming(Special Topic on Model Selection)

1 
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269.35kB 
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Automatic PCA Dimension Selection for High Dimensional Data and Small Sample Sizes

1 
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3.72MB 
19  1+ 
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Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction

1 
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441.50kB 
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Ranking Categorical Features Using Generalization Properties

1 
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449.95kB 
15  1+ 
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Visualizing Data using tSNE

1 
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254.27kB 
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NonParametric Modeling of Partially Ranked Data

1 
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390.11kB 
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Learning Similarity with Operatorvalued Largemargin Classifiers

1 
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197.46kB 
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Trust Region Newton Method for Logistic Regression

1 
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48.85kB 
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LinearTime Computation of Similarity Measures for Sequential Data

1 
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533.68kB 
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On Relevant Dimensions in Kernel Feature Spaces

1 
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102.56kB 
15  1+ 
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Learning Control Knowledge for Forward Search Planning

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203.05kB 
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On the Size and Recovery of Submatrices of Ones in a Random Binary Matrix

1 
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856.27kB 
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On the Suitable Domain for SVM Training in Image Coding

1 
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521.36kB 
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Learning to Select Features using their Properties

1 
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137.76kB 
18  1+ 
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A Multiple Instance Learning Strategy for Combating Good Word Attacks on Spam Filters

1 
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281.48kB 
19  1+ 
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HPB: A Model for Handling BN Nodes with High Cardinality Parents

1 
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306.21kB 
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Model Selection in Kernel Based Regression using the Influence Function(Special Topic on Model Selection)

1 
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264.41kB 
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Minimal Nonlinear Distortion Principle for Nonlinear Independent Component Analysis

1 
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2.91MB 
22  1+ 
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Complete Identification Methods for the Causal Hierarchy(Special Topic on Causality)

1 
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495.05kB 
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On the Consistency of Multiclass Classification Methods (Special Topic on the Conference on Learning Theory 2005)

1 
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174.76kB 
19  1+ 
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A Stochastic Algorithm for Feature Selection in Pattern Recognition

1 
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438.67kB 
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Efficient Margin Maximizing with Boosting

1 
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605.34kB 
30  1+ 
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Superior Guarantees for Sequential Prediction and Lossless Compression via Alphabet Decomposition

1 
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271.67kB 
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Entropy Inference and the JamesStein Estimator, with Application to Nonlinear Gene Association Networks

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147.29kB 
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Markov Properties for Linear Causal Models with Correlated Errors(Special Topic on Causality)

1 
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231.17kB 
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Maximum Entropy Discrimination Markov Networks

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593.20kB 
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On Efficient Large Margin Semisupervised Learning: Method and Theory

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630.90kB 
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Concentration Bounds for Unigram Language Models

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219.42kB 
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Exact Simplification of Support Vector Solutions (Kernel Machines Section)

1 
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332.06kB 
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A NearOptimal Algorithm for DifferentiallyPrivate Principal Components

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424.73kB 
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Regression on FixedRank Positive Semidefinite Matrices: A Riemannian Approach

1 
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340.67kB 
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Statistical Consistency of Kernel Canonical Correlation Analysis

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367.80kB 
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Kernel Analysis of Deep Networks

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762.62kB 
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Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation

1 
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140.34kB 
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Two DistributedState Models For Generating HighDimensional Time Series

1 
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866.01kB 
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Unlabeled Compression Schemes for Maximum Classes

1 
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457.23kB 
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The Stationary Subspace Analysis Toolbox

1 
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70.42kB 
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The Locally Weighted Bag of Words Framework for Document Representation

1 
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1.74MB 
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Characterizing the Function Space for Bayesian Kernel Models

1 
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228.85kB 
20  1+ 
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On Equivalence Relationships Between Classification and Ranking Algorithms

1 
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376.99kB 
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Recommender Systems Using Linear Classifiers

1 
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248.12kB 
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OneClass SVMs for Document Classification (Kernel Machines Section)

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326.60kB 
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Efficient and Effective Visual Codebook Generation Using Additive Kernels

1 
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165.80kB 
19  1+ 
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OneClass Novelty Detection for Seizure Analysis from Intracranial EEG

1 
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276.87kB 
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WeisfeilerLehman Graph Kernels

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299.28kB 
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Machine Learning for Computer Security(Special Topic on Machine Learning for Computer Security)

1 
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59.94kB 
102  3+ 
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Provably Efficient Learning with Typed Parametric Models

1 
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2.49MB 
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Nonparametric Quantile Estimation

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904.72kB 
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Fast Iterative Kernel Principal Component Analysis

1 
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3.19MB 
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Support Vector Clustering (Kernel Machines Section)

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326.52kB 
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Strong Limit Theorems for the Bayesian Scoring Criterion in Bayesian Networks

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120.69kB 
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AdaBoost is Consistent

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184.12kB 
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Clustering with Bregman Divergences

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342.74kB 
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Adaptive Exact Inference in Graphical Models

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644.27kB 
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Better Algorithms for Benign Bandits

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186.30kB 
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Machine Learning with Data Dependent Hypothesis Classes

1 
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145.27kB 
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Learning Spectral Clustering, With Application To Speech Separation

1 
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660.25kB 
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Incremental Algorithms for Hierarchical Classification

1 
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183.49kB 
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Linear StateSpace Models for Blind Source Separation

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325.02kB 
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Bilinear Discriminant Component Analysis

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669.21kB 
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Structure Spaces

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669.80kB 
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Model Monitor (M2): Evaluating, Comparing, and Monitoring Models(Machine Learning Open Source Software Paper)

1 
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169.71kB 
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Learning Sparse Representations by NonNegative Matrix Factorization and Sequential Cone Programming (Special Topic on Machine Learning and Optimization)

1 
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254.49kB 
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Universal Kernels

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140.17kB 
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Semigroup Kernels on Measures

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379.05kB 
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Considering Cost Asymmetry in Learning Classifiers

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355.12kB 
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Faster Algorithms for MaxProduct MessagePassing

1 
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1.12MB 
19  1+ 
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The Need for Open Source Software in Machine Learning

1 
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1.28MB 
32  1+ 
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Variable Sparsity Kernel Learning

1 
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236.15kB 
21  1+ 
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Marginbased Ranking and an Equivalence between AdaBoost and RankBoost

1 
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420.29kB 
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Highdimensional Covariance Estimation Based On Gaussian Graphical Models

1 
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735.00kB 
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The Sample Complexity of Dictionary Learning

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185.59kB 
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Models of Cooperative Teaching and Learning

1 
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278.16kB 
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Maximum Margin Algorithms with Boolean Kernels

1 
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192.07kB 
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Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss

1 
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122.78kB 
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Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts

1 
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490.17kB 
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An Anticorrelation Kernel for Subsystem Training in Multiple Classifier Systems

1 
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560.99kB 
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Learning Recursive Control Programs from Problem Solving (Special Topic on Inductive Programming)

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192.33kB 
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Graph Laplacians and their Convergence on Random Neighborhood Graphs (Special Topic on the Conference on Learning Theory 2005)

1 
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2.91MB 
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Stability and Generalization

1 
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210.94kB 
22  1+ 
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A Nonparametric Statistical Approach to Clustering via Mode Identification

1 
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665.62kB 
36  1+ 
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Text Classification using String Kernels

1 
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202.03kB 
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CommunicationEfficient Algorithms for Statistical Optimization

1 
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381.05kB 
24  1+ 
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PolynomialDelay Enumeration of Monotonic Graph Classes

1 
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204.99kB 
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Learning Coordinate Covariances via Gradients

1 
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385.96kB 
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Operator Norm Convergence of Spectral Clustering on Level Sets

1 
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247.31kB 
18  1+ 
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Asymptotic Model Selection for Naive Bayesian Networks

1 
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1.08MB 
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Spam Filtering Based On The Analysis Of Text Information Embedded Into Images (Special Topic on Machine Learning for Computer Security)

1 
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482.18kB 
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A New Probabilistic Approach in Rank Regression with Optimal Bayesian Partitioning (Special Topic on Model Selection)

1 
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1.13MB 
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A Direct Method for Building Sparse Kernel Learning Algorithms

1 
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282.87kB 
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Learning the Kernel Function via Regularization

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221.87kB 
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Diffusion Kernels on Statistical Manifolds

1 
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1.34MB 
16  1+ 
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Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

1 
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307.88kB 
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Optimized Cutting Plane Algorithm for LargeScale Risk Minimization

1 
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1.62MB 
21  1+ 
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Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space (Kernel Machines Section)

1 
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235.16kB 
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Union Support Recovery in Multitask Learning

1 
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212.21kB 
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Some Theory for Generalized Boosting Algorithms

1 
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205.60kB 
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Bayesian CoTraining

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377.65kB 
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Clustering on the Unit Hypersphere using von MisesFisher Distributions

1 
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295.34kB 
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Estimating Functions for Blind Separation When Sources Have Variance Dependencies

1 
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658.28kB 
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Evolutionary Model Type Selection for Global Surrogate Modeling

1 
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1.28MB 
26  1+ 
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A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis

1 
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399.65kB 
39  1+ 
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A Robust Procedure For Gaussian Graphical Model Search From Microarray Data With p Larger Than n

1 
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685.16kB 
18  1+ 
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Incorporating Functional Knowledge in Neural Networks

1 
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181.14kB 
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Learning to Detect and Classify Malicious Executables in the Wild (Special Topic on Machine Learning for Computer Security)

1 
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206.73kB 
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Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant Analysis

1 
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156.31kB 
28  1+ 
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Boosted Classification Trees and Class ProbabilityQuantile Estimation

1 
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989.97kB 
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Hierarchical Knowledge Gradient for Sequential Sampling

1 
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594.38kB 
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Subgroup Analysis via Recursive Partitioning

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143.83kB 
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A Cure for Variance Inflation in High Dimensional Kernel Principal Component Analysis

1 
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577.25kB 
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General Polynomial Time Decomposition Algorithms (Special Topic on the Conference on Learning Theory 2005)

1 
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154.04kB 
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Introduction to the Special Issue on Kernel Methods (Kernel Machines Section)

1 
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81.05kB 
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A Bayesian Approximation Method for Online Ranking

1 
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236.16kB 
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SparseRobust Estimation and Kalman Smoothing with Nonsmooth LogConcave Densities: Modeling, Computation, and Theory

1 
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507.88kB 
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Bayesian Network Learning with Parameter Constraints (Special Topic on Machine Learning and Optimization)

1 
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259.55kB 
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Robust Gaussian Process Regression with a Studentt Likelihood

1 
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759.22kB 
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Shallow Parsing using Specialized HMMs

1 
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308.35kB 
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Handling Missing Values when Applying Classification Models

1 
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389.65kB 
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Forest Density Estimation

1 
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809.73kB 
27  1+ 
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New Horn Revision Algorithms

1 
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149.38kB 
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On Inferring Application Protocol Behaviors in Encrypted Network Traffic (Special Topic on Machine Learning for Computer Security)

1 
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275.12kB 
43  1+ 
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Estimation of Gradients and Coordinate Covariation in Classification

1 
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317.44kB 
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From External to Internal Regret (Special Topic on the Conference on Learning Theory 2005)

1 
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163.17kB 
22  1+ 
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SuperLinear Convergence of Dual Augmented Lagrangian Algorithm for Sparsity Regularized Estimation

1 
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852.47kB 
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Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation

1 
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266.31kB 
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Efficient SVM Training Using LowRank Kernel Representations (Kernel Machines Section)

1 
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463.05kB 
21  1+ 
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HyperSparse Optimal Aggregation

1 
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900.66kB 
23  1+ 
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DirectLiNGAM: A Direct Method for Learning a Linear NonGaussian Structural Equation Model

1 
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934.53kB 
24  1+ 
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Anytime Learning of Decision Trees

1 
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364.51kB 
22  1+ 
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New Algorithms for Efficient HighDimensional Nonparametric Classification

1 
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183.68kB 
29  2+ 
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Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting (Special Topic on Inductive Programming)

1 
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552.76kB 
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PACBayes Risk Bounds for Stochastic Averages and Majority Votes of SampleCompressed Classifiers

1 
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225.56kB 
17  1+ 
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Sparseness vs Estimating Conditional Probabilities: Some Asymptotic Results

1 
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146.64kB 
21  1+ 
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Dimension Reduction in Text Classification with Support Vector Machines

1 
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107.39kB 
18  2+ 
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Evolutionary Function Approximation for Reinforcement Learning

1 
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1.55MB 
23  1+ 
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Active Learning with Feedback on Features and Instances

1 
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386.12kB 
26  1+ 
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Theoretical Analysis of Bayesian Matrix Factorization

1 
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581.48kB 
26  1+ 
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Large Scale Multiple Kernel Learning (Special Topic on Machine Learning and Optimization)

1 
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937.23kB 
26  1+ 
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Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation

1 
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1.45MB 
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Group Lasso Estimation of Highdimensional Covariance Matrices

1 
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354.44kB 
17  1+ 
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A SimulationBased Algorithm for Ergodic Control of Markov Chains Conditioned on Rare Events

1 
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219.60kB 
22  1+ 
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Nonlinear Estimators and Tail Bounds for Dimension Reduction in l1 Using Cauchy Random Projections

1 
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337.83kB 
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Preventing OverFitting during Model Selection via Bayesian Regularisation of the HyperParameters (Special Topic on Model Selection)

1 
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153.71kB 
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Separating Models of Learning from Correlated and Uncorrelated Data (Special Topic on the Conference on Learning Theory 2005)

1 
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132.70kB 
20  1+ 
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Learning Equivariant Functions with Matrix Valued Kernels

1 
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495.75kB 
22  1+ 
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Margin Trees for Highdimensional Classification

1 
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102.52kB 
19  1+ 
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Bayesian Quadratic Discriminant Analysis

1 
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196.90kB 
19  1+ 
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The Interplay of Optimization and Machine Learning Research (Special Topic on Machine Learning and Optimization)

1 
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118.18kB 
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Bayesian Generalized Kernel Mixed Models

1 
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340.76kB 
19  1+ 
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Minimum Description Length Penalization for Group and MultiTask Sparse Learning

1 
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317.95kB 
21  1+ 
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Maximum Entropy Density Estimation with Generalized Regularization and an Application to Species Distribution Modeling

1 
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432.51kB 
18  1+ 
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Universality, Characteristic Kernels and RKHS Embedding of Measures

1 
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369.71kB 
20  1+ 
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An InteriorPoint Method for LargeScale l1Regularized Logistic Regression

1 
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910.98kB 
28  1+ 
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Refinable Kernels

1 
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261.78kB 
18  1+ 
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Linear Programs for Hypotheses Selection in Probabilistic Inference Models (Special Topic on Machine Learning and Optimization)

1 
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127.43kB 
21  1+ 
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Core Vector Machines: Fast SVM Training on Very Large Data Sets

1 
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417.31kB 
34  1+ 
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A Linear NonGaussian Acyclic Model for Causal Discovery

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Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples

1 
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416.15kB 
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Large Scale Transductive SVMs

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220.63kB 
19  1+ 
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Optimising Kernel Parameters and Regularisation Coefficients for Nonlinear Discriminant Analysis

1 
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487.93kB 
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Cumulative Distribution Networks and the Derivativesumproduct Algorithm: Models and Inference for Cumulative Distribution Functions on Graphs

1 
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2.03MB 
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Structured Variable Selection with SparsityInducing Norms

1 
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446.85kB 
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Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining

1 
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278.96kB 
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Learning a Hidden Hypergraph

1 
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178.94kB 
27  1+ 
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Learning with Structured Sparsity

1 
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518.70kB 
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A Family of Simple NonParametric Kernel Learning Algorithms

1 
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620.86kB 
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On the Algorithmic Implementation of Multiclass Kernelbased Vector Machines (Kernel Machines Section)

1 
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494.39kB 
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XArmed Bandits

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835.49kB 
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Dynamics and Generalization Ability of LVQ Algorithms

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608.48kB 
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Dirichlet Process Mixtures of Generalized Linear Models

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2.93MB 
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Sparse Linear Identifiable Multivariate Modeling

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533.99kB 
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Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization

1 
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711.51kB 
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Double Updating Online Learning

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302.62kB 
21  1+ 
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Learning Nondeterministic Classifiers

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422.56kB 
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Stagewise Lasso

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611.53kB 
18  1+ 
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Scikitlearn: Machine Learning in Python

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42.31kB 
1,491  14+ 
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Parallel Algorithm for Learning Optimal Bayesian Network Structure

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394.24kB 
25  1+ 
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Learning Multimodal Similarity

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468.43kB 
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Discriminative Learning of Bayesian Networks via Factorized Conditional LogLikelihood

1 
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447.14kB 
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CARP: Software for Fishing Out Good Clustering Algorithms

1 
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584.44kB 
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Gini Support Vector Machine: Quadratic Entropy Based Robust MultiClass Probability Regression

1 
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817.86kB 
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Learning Minimum Volume Sets

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917.29kB 
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Value Regularization and Fenchel Duality

1 
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299.19kB 
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On the Learnability of Shuffle Ideals

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181.53kB 
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Nonlinear Models Using Dirichlet Process Mixtures

1 
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231.28kB 
27  1+ 
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Introduction to the Special Topic on Grammar Induction, Representation of Language and Language Learning

1 
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25.98kB 
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Learning Horn Expressions with LOGANH

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814.71kB 
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Posterior Sparsity in Unsupervised Dependency Parsing

1 
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383.82kB 
21  1+ 
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lpNorm Multiple Kernel Learning

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434.40kB 
19  1+ 
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Step Size Adaptation in Reproducing Kernel Hilbert Space

1 
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450.31kB 
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Anechoic Blind Source Separation Using Wigner Marginals

1 
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773.75kB 
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Distance Metric Learning for Large Margin Nearest Neighbor Classification

1 
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1.98MB 
42  1+ 
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Efficient Program Synthesis Using Constraint Satisfaction in Inductive Logic Programming

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278.96kB 
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Discriminative Learning Under Covariate Shift

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165.70kB 
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A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes

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372.87kB 
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In All Likelihood, Deep Belief Is Not Enough

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447.32kB 
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Infinite Limits For Tikhonov Regularization

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223.74kB 
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Learning a Mahalanobis Metric from Equivalence Constraints

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868.95kB 
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Text Chunking based on a Generalization of Winnow

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199.64kB 
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Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data

1 
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259.93kB 
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JKernelMachines: A Simple Framework for Kernel Machines

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NEUROSVM: An Architecture to Reduce the Effect of the Choice of Kernel on the Performance of SVM

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452.73kB 
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Support Vector Machine Active Learning with Applications to Text Classification

1 
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309.68kB 
61  2+ 
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On Using Extended Statistical Queries to Avoid Membership Queries

1 
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1.48MB 
18  1+ 
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Robust Approximate Bilinear Programming for Value Function Approximation

1 
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262.34kB 
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A Generalized Kernel Approach to Dissimilaritybased Classification (Kernel Machines Section)

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451.30kB 
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WorstCase Analysis of Selective Sampling for Linear Classification

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184.34kB 
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Unsupervised Supervised Learning II: MarginBased Classification Without Labels

1 
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253.97kB 
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A Classification Framework for Anomaly Detection

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181.54kB 
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Learning to Classify Ordinal Data: The Data Replication Method

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448.24kB 
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MULAN: A Java Library for MultiLabel Learning

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29.58kB 
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Information Rates of Nonparametric Gaussian Process Methods

1 
20140428 
198.20kB 
21  1+ 
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Stochastic Methods for l1regularized Loss Minimization

1 
20140428 
517.56kB 
20  1+ 
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Experiment Selection for Causal Discovery

1 
20140428 
1.27MB 
17  1+ 
0 

Linear Programming Relaxations and Belief Propagation  An Empirical Study (Special Topic on Machine Learning and Optimization)

1 
20140428 
802.84kB 
32  1+ 
0 

On Model Selection Consistency of Lasso

1 
20140428 
172.94kB 
18  1+ 
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Spam Filtering Using Statistical Data Compression Models (Special Topic on Machine Learning for Computer Security)

1 
20140428 
336.31kB 
34  1+ 
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Differentially Private Empirical Risk Minimization

1 
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339.06kB 
17  1+ 
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Distance Dependent Chinese Restaurant Processes

1 
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1.96MB 
22  1+ 
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Exploring Strategies for Training Deep Neural Networks

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973.02kB 
64  2+ 
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Ensemble Pruning Via Semidefinite Programming (Special Topic on Machine Learning and Optimization)

1 
20140428 
262.39kB 
21  1+ 
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Analysis of Variance of CrossValidation Estimators of the Generalization Error

1 
20140428 
294.94kB 
18  1+ 
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Parameter Screening and Optimisation for ILP using Designed Experiments

1 
20140428 
281.42kB 
19  1+ 
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Exploiting BestMatch Equations for Efficient Reinforcement Learning

1 
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495.83kB 
25  1+ 
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Learning Latent Tree Graphical Models

1 
20140428 
734.64kB 
21  1+ 
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Kernel Regression in the Presence of Correlated Errors

1 
20140428 
465.08kB 
25  1+ 
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Learning with Decision Lists of DataDependent Features

1 
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196.48kB 
18  1+ 
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Incremental Support Vector Learning: Analysis, Implementation and Applications (Special Topic on Machine Learning and Optimization)

1 
20140428 
259.91kB 
25  1+ 
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Improved Moves for Truncated Convex Models

1 
20140428 
526.60kB 
19  1+ 
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Marginal Likelihood Integrals for Mixtures of Independence Models

1 
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177.75kB 
19  1+ 
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Online Learning with Samples Drawn from Nonidentical Distributions

1 
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210.13kB 
16  1+ 
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Natural Language Processing (Almost) from Scratch

1 
20140428 
424.78kB 
143  1+ 
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Information, Divergence and Risk for Binary Experiments

1 
20140428 
1.51MB 
25  1+ 
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Nearest Neighbor Clustering: A Baseline Method for Consistent Clustering with Arbitrary Objective Functions

1 
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303.53kB 
17  1+ 
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A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization

1 
20140428 
242.08kB 
23  1+ 
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Inner Product Spaces for Bayesian Networks

1 
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164.61kB 
18  1+ 
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NonParametric Estimation of Topic Hierarchies from Texts with Hierarchical Dirichlet Processes

1 
20140428 
524.92kB 
20  1+ 
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Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies

1 
20140428 
389.20kB 
34  1+ 
0 

Efficient Computation of Gapped Substring Kernels on Large Alphabets

1 
20140428 
254.61kB 
19  1+ 
0 

Uniform Object Generation for Optimizing Oneclass Classifiers (Kernel Machines Section)

1 
20140428 
188.01kB 
22  1+ 
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Approximate Marginals in Latent Gaussian Models

1 
20140428 
3.57MB 
22  1+ 
0 

Matrix Exponentiated Gradient Updates for Online Learning and Bregman Projection

1 
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243.08kB 
18  1+ 
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Variational Inference in Nonconjugate Models

1 
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500.05kB 
15  1+ 
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Efficient Learning of Label Ranking by Soft Projections onto Polyhedra (Special Topic on Machine Learning and Optimization)

1 
20140428 
572.89kB 
19  1+ 
0 

A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs

1 
20140428 
157.28kB 
22  1+ 
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On the Representer Theorem and Equivalent Degrees of Freedom of SVR

1 
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463.09kB 
20  1+ 
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Multiple Kernel Learning Algorithms

1 
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395.81kB 
20  1+ 
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MultiTask Learning for Classification with Dirichlet Process Priors

1 
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250.97kB 
17  1+ 
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Efficient Learning with Partially Observed Attributes

1 
20140428 
187.32kB 
22  1+ 
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GraphBased Hierarchical Conceptual Clustering

1 
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207.11kB 
22  1+ 
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The LearningCurve Sampling Method Applied to ModelBased Clustering

1 
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193.58kB 
18  1+ 
1 

Collaborative Multiagent Reinforcement Learning by Payoff Propagation

1 
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521.27kB 
21  1+ 
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Adaptive Online Prediction by Following the Perturbed Leader

1 
20140428 
191.61kB 
20  1+ 
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The Indian Buffet Process: An Introduction and Review

1 
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407.75kB 
80  1+ 
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Learning a Robust Relevance Model for Search Using Kernel Methods

1 
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256.74kB 
18  1+ 
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Learning Permutations with Exponential Weights

1 
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246.97kB 
16  1+ 
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Local Discriminant Wavelet Packet Coordinates for Face Recognition

1 
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371.96kB 
19  1+ 
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Learning Transformation Models for Ranking and Survival Analysis

1 
20140428 
806.05kB 
26  1+ 
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Structured Prediction, Dual Extragradient and Bregman Projections (Special Topic on Machine Learning and Optimization)

1 
20140428 
534.29kB 
27  1+ 
0 

Large Margin Semisupervised Learning

1 
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260.99kB 
18  1+ 
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Estimating HighDimensional Directed Acyclic Graphs with the PCAlgorithm

1 
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199.05kB 
18  1+ 
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Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets

1 
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427.93kB 
24  1+ 
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Learning from Partial Labels

1 
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1.91MB 
21  1+ 
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Efficient Structure Learning of Bayesian Networks using Constraints

1 
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215.95kB 
20  1+ 
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Generalization Bounds for the Area Under the ROC Curve

1 
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259.60kB 
22  1+ 
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Generalized BradleyTerry Models and MultiClass Probability Estimates

1 
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402.41kB 
18  1+ 
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Integrating Nave Bayes and FOIL

1 
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223.18kB 
20  1+ 
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Producing PowerLaw Distributions and Damping Word Frequencies with TwoStage Language Models

1 
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560.66kB 
22  1+ 
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MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals

1 
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395.93kB 
24  1+ 
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Computationally Efficient Convolved Multiple Output Gaussian Processes

1 
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646.80kB 
22  1+ 
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Polynomial Identification in the Limit of Substitutable Contextfree Languages

1 
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150.26kB 
19  1+ 
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Locally Defined Principal Curves and Surfaces

1 
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2.87MB 
22  1+ 
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Laplacian Support Vector Machines Trained in the Primal

1 
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502.28kB 
29  1+ 
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Inductive Synthesis of Functional Programs: An Explanation Based Generalization Approach (Special Topic on Inductive Programming)

1 
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258.89kB 
22  1+ 
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Introduction to Special Issue on Machine Learning Approaches to Shallow Parsing

1 
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392.17kB 
29  1+ 
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KernelBased Learning of Hierarchical Multilabel Classification Models (Special Topic on Machine Learning and Optimization)

1 
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193.09kB 
22  1+ 
0 

Stability Properties of Empirical Risk Minimization over Donsker Classes

1 
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164.35kB 
19  1+ 
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Inverse Reinforcement Learning in Partially Observable Environments

1 
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626.03kB 
24  1+ 
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Building Blocks for Variational Bayesian Learning of Latent Variable Models

1 
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426.83kB 
23  1+ 
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Hierarchical Average Reward Reinforcement Learning

1 
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332.69kB 
19  1+ 
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Large Margin Hierarchical Classification with Mutually Exclusive Class Membership

1 
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269.39kB 
20  1+ 
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Causal Graph Based Decomposition of Factored MDPs

1 
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305.91kB 
26  1+ 
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MSVMpack: A MultiClass Support Vector Machine Package

1 
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46.01kB 
22  1+ 
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Training SVMs Without Offset

1 
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922.84kB 
21  1+ 
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Bounded KernelBased Online Learning

1 
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429.45kB 
22  1+ 
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Learning PartsBased Representations of Data

1 
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440.26kB 
23  1+ 
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SemiSupervised Learning with Measure Propagation

1 
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971.52kB 
20  1+ 
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Convex and Network Flow Optimization for Structured Sparsity

1 
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763.93kB 
24  1+ 
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LPmade: Link Prediction Made Easy

1 
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49.33kB 
17  1+ 
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Truncating the Loop Series Expansion for Belief Propagation

1 
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1.31MB 
20  1+ 
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A Hierarchy of Support Vector Machines for Pattern Detection

1 
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1.65MB 
21  1+ 
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The arules RPackage Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets

1 
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165.06kB 
22  1+ 
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Proximal Methods for Hierarchical Sparse Coding

1 
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611.35kB 
20  1+ 
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A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin

1 
20140428 
244.70kB 
21  1+ 
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Concave Learners for Rankboost

1 
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170.76kB 
20  1+ 
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Unsupervised SimilarityBased Risk Stratification for Cardiovascular Events Using LongTerm TimeSeries Data

1 
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276.07kB 
21  1+ 
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In Search of NonGaussian Components of a HighDimensional Distribution

1 
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1.28MB 
19  1+ 
0 

Asymptotics in Empirical Risk Minimization

1 
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150.53kB 
22  1+ 
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NeymanPearson Classification, Convexity and Stochastic Constraints

1 
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187.16kB 
19  1+ 
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Generalized TD Learning

1 
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400.39kB 
20  1+ 
0 

WalkSums and Belief Propagation in Gaussian Graphical Models

1 
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345.37kB 
18  1+ 
0 

Building Support Vector Machines with Reduced Classifier Complexity (Special Topic on Machine Learning and Optimization)

1 
20140428 
244.17kB 
33  2+ 
0 

QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines

1 
20140428 
322.12kB 
21  1+ 
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"Ideal Parent" Structure Learning for Continuous Variable Bayesian Networks

1 
20140428 
663.20kB 
25  1+ 
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Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems (Special Topic on Machine Learning and Optimization)

1 
20140428 
200.30kB 
123  1+ 
0 

Learning Factor Graphs in Polynomial Time and Sample Complexity

1 
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355.63kB 
21  1+ 
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PointBased Value Iteration for Continuous POMDPs

1 
20140428 
527.86kB 
18  1+ 
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A Graphical Representation of Equivalence Classes of AMP Chain Graphs

1 
20140428 
308.10kB 
22  1+ 
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Segmental Hidden Markov Models with Random Effects for Waveform Modeling

1 
20140428 
529.59kB 
21  1+ 
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Learning HighDimensional Markov Forest Distributions: Analysis of Error Rates

1 
20140428 
331.37kB 
22  1+ 
0 

NoisyOR Component Analysis and its Application to Link Analysis

1 
20140428 
529.55kB 
21  1+ 
0 

Online Learning of Multiple Tasks with a Shared Loss

1 
20140428 
259.62kB 
20  1+ 
0 

MaximumGain Working Set Selection for SVMs (Special Topic on Machine Learning and Optimization)

1 
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252.09kB 
20  1+ 
0 

Logistic StickBreaking Process

1 
20140428 
2.25MB 
19  1+ 
0 

Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problems (Special Topic on Machine Learning and Optimization)

1 
20140428 
1.04MB 
22  1+ 
0 

Sparse Boosting

1 
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242.10kB 
16  1+ 
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Consistency and Convergence Rates of OneClass SVMs and Related Algorithms

1 
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258.63kB 
23  1+ 
0 

Synergistic Face Detection and Pose Estimation with EnergyBased Models

1 
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2.24MB 
21  1+ 
0 

Improving the Reliability of Causal Discovery from Small Data Sets Using Argumentation(Special Topic on Causality)

1 
20140428 
325.20kB 
27  1+ 
0 

Covariate Shift Adaptation by Importance Weighted Cross Validation

1 
20140428 
273.84kB 
18  1+ 
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Fourier Theoretic Probabilistic Inference over Permutations

1 
20140428 
696.98kB 
16  1+ 
0 

Second Order Cone Programming Approaches for Handling Missing and Uncertain Data (Special Topic on Machine Learning and Optimization)

1 
20140428 
429.29kB 
26  1+ 
0 

Particle Swarm Model Selection(Special Topic on Model Selection)

1 
20140428 
563.42kB 
27  1+ 
0 

Streamwise Feature Selection

1 
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163.86kB 
16  1+ 
0 

Action Elimination and Stopping Conditions for the MultiArmed Bandit and Reinforcement Learning Problems

1 
20140428 
206.08kB 
17  1+ 
0 

Approximating the Permanent with Fractional Belief Propagation

1 
20140428 
4.16MB 
23  1+ 
0 

Learning the Structure of Linear Latent Variable Models

1 
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451.79kB 
23  1+ 
0 

Nested Expectation Propagation for Gaussian Process Classification with a Multinomial Probit Likelihood

1 
20140428 
1.20MB 
21  1+ 
0 

Using Machine Learning to Guide Architecture Simulation

1 
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809.37kB 
36  1+ 
0 

On the Complexity of Learning Lexicographic Strategies

1 
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203.25kB 
19  1+ 
0 

Combining PACBayesian and Generic Chaining Bounds

1 
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237.12kB 
21  1+ 
0 

The Pyramid Match Kernel: Efficient Learning with Sets of Features

1 
20140428 
7.96MB 
24  1+ 
0 

Reproducing Kernel Banach Spaces for Machine Learning

1 
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245.38kB 
19  1+ 
0 

Active Coevolutionary Learning of Deterministic Finite Automata

1 
20140428 
238.25kB 
24  1+ 
0 

Multiclass Protein Classification Using Adaptive Codes

1 
20140428 
316.49kB 
21  1+ 
0 

Maximum Volume Clustering: A New Discriminative Clustering Approach

1 
20140428 
531.38kB 
20  1+ 
0 

Minimax Regret Classifier for Imprecise Class Distributions

1 
20140428 
329.71kB 
19  1+ 
0 

Transfer Learning via InterTask Mappings for Temporal Difference Learning

1 
20140428 
511.94kB 
19  1+ 
0 

Relational Dependency Networks

1 
20140428 
2.92MB 
21  1+ 
0 

Feature Selection for Unsupervised and Supervised Inference: The Emergence of Sparsity in a WeightBased Approach

1 
20140428 
402.63kB 
22  1+ 
0 

Online PassiveAggressive Algorithms

1 
20140428 
372.77kB 
27  1+ 
0 

Kernel Methods for Measuring Independence

1 
20140428 
478.95kB 
19  1+ 
0 

Behavioral Shaping for Geometric Concepts

1 
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234.07kB 
20  1+ 
1 

Protovalue Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes

1 
20140428 
1.34MB 
28  1+ 
0 

Undercomplete Blind Subspace Deconvolution

1 
20140428 
803.71kB 
23  1+ 
0 

Joint Harmonic Functions and Their Supervised Connections

1 
20140428 
749.03kB 
21  1+ 
0 

A Generalized Maximum Entropy Approach to Bregman Coclustering and Matrix Approximation

1 
20140428 
518.05kB 
24  1+ 
0 

A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians

1 
20140428 
192.02kB 
17  1+ 
0 

Universal Algorithms for Learning Theory Part I : Piecewise Constant Functions

1 
20140428 
187.31kB 
24  1+ 
0 

The OnLine Shortest Path Problem Under Partial Monitoring

1 
20140428 
389.69kB 
21  1+ 
0 

Loopy Belief Propagation: Convergence and Effects of Message Errors

1 
20140428 
354.43kB 
16  1+ 
0 

Change Point Problems in Linear Dynamical Systems

1 
20140428 
230.78kB 
29  3+ 
0 

Fast Kernel Classifiers with Online and Active Learning

1 
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507.26kB 
21  1+ 
0 

Convergence Theorems for Generalized Alternating Minimization Procedures

1 
20140428 
170.83kB 
19  1+ 
0 

SphericalHomoscedastic Distributions: The Equivalency of Spherical and Normal Distributions in Classification

1 
20140428 
478.68kB 
26  1+ 
0 

Learnability of Gaussians with Flexible Variances

1 
20140428 
226.30kB 
18  1+ 
0 

Algorithms and Hardness Results for Parallel Large Margin Learning

1 
20140428 
222.17kB 
23  1+ 
0 

RegularizationFree Principal Curve Estimation

1 
20140428 
1.30MB 
19  1+ 
0 

Toward Attribute Efficient Learning of Decision Lists and Parities

1 
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129.72kB 
15  1+ 
0 

Measuring Differentiability: Unmasking Pseudonymous Authors

1 
20140428 
179.22kB 
20  1+ 
0 

Euclidean Embedding of Cooccurrence Data

1 
20140428 
908.31kB 
21  1+ 
0 

Learning When Concepts Abound

1 
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351.75kB 
18  1+ 
0 

A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior

1 
20140428 
227.71kB 
21  1+ 
0 

Learning Module Networks

1 
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406.70kB 
52  1+ 
0 

Loop Corrections for Approximate Inference on Factor Graphs

1 
20140428 
781.06kB 
22  1+ 
0 

Penalized ModelBased Clustering with Application to Variable Selection

1 
20140428 
127.93kB 
22  1+ 
0 

TreeBased Batch Mode Reinforcement Learning

1 
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1.32MB 
22  1+ 
0 

Learning Halfspaces with Malicious Noise

1 
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193.75kB 
23  1+ 
0 

Ranking the Best Instances

1 
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245.84kB 
20  1+ 
0 

Variational Message Passing

1 
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456.23kB 
21  1+ 
0 

Managing Diversity in Regression Ensembles

1 
20140428 
251.19kB 
22  1+ 
0 

Efficient Online and Batch Learning Using Forward Backward Splitting

1 
20140428 
514.50kB 
21  1+ 
0 

Harnessing the Expertise of 70,000 Human Editors: KnowledgeBased Feature Generation for Text Categorization

1 
20140428 
302.31kB 
28  1+ 
0 

Rearrangement Clustering: Pitfalls, Remedies, and Applications

1 
20140428 
866.52kB 
24  1+ 
0 

Generalization Bounds for Ranking Algorithms via Algorithmic Stability

1 
20140428 
262.74kB 
23  1+ 
1 

Multiclass Classification with MultiPrototype Support Vector Machines

1 
20140428 
375.44kB 
20  1+ 
0 

Transfer Learning for Reinforcement Learning Domains: A Survey

1 
20140428 
409.39kB 
23  1+ 
0 

Learning in Environments with Unknown Dynamics: Towards more Robust Concept Learners

1 
20140428 
1.11MB 
24  1+ 
0 

On the Nystrm Method for Approximating a Gram Matrix for Improved KernelBased Learning

1 
20140428 
174.96kB 
21  1+ 
0 

Nonextensive Information Theoretic Kernels on Measures

1 
20140428 
377.54kB 
21  1+ 
0 

Learning Hidden Variable Networks: The Information Bottleneck Approach

1 
20140428 
661.62kB 
23  1+ 
0 

Consistent Feature Selection for Pattern Recognition in Polynomial Time

1 
20140428 
362.46kB 
20  1+ 
0 

Refinement of Reproducing Kernels

1 
20140428 
239.00kB 
21  1+ 
0 

Assessing Approximate Inference for Binary Gaussian Process Classification

1 
20140428 
483.69kB 
22  1+ 
0 

Noise Tolerant Variants of the Perceptron Algorithm

1 
20140428 
318.94kB 
23  1+ 
0 

Smooth Insensitive Regression by Loss Symmetrization

1 
20140428 
416.45kB 
23  1+ 
0 

Belief Propagation for Continuous State Spaces: Stochastic MessagePassing with Quantitative Guarantees

1 
20140428 
519.90kB 
22  1+ 
1 

Cautious Collective Classification

1 
20140428 
525.68kB 
19  1+ 
0 

Revised Loss Bounds for the Set Covering Machine and SampleCompression Loss Bounds for Imbalanced Data

1 
20140428 
332.07kB 
16  1+ 
0 

Comments on the "Core Vector Machines: Fast SVM Training on Very Large Data Sets"

1 
20140428 
131.09kB 
22  1+ 
0 

An Analysis of Convex Relaxations for MAP Estimation of Discrete MRFs

1 
20140428 
827.67kB 
23  1+ 
0 

Gaussian Processes for Ordinal Regression

1 
20140428 
269.26kB 
19  1+ 
0 

Large Margin Methods for Structured and Interdependent Output Variables

1 
20140428 
240.67kB 
20  1+ 
0 

Stability of Randomized Learning Algorithms

1 
20140428 
177.76kB 
26  2+ 
0 

Learning from Examples as an Inverse Problem

1 
20140428 
149.25kB 
21  1+ 
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A Unifying View of Sparse Approximate Gaussian Process Regression

1 
20140428 
254.63kB 
20  1+ 
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Classification with Gaussians and Convex Loss

1 
20140428 
188.00kB 
17  1+ 
0 

Prioritization Methods for Accelerating MDP Solvers

1 
20140428 
542.57kB 
26  1+ 
0 

Classification in Networked Data: A Toolkit and a Univariate Case Study

1 
20140428 
452.34kB 
23  1+ 
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Hash Kernels for Structured Data

1 
20140428 
260.30kB 
21  3+ 
0 

On the Effectiveness of Laplacian Normalization for Graph Semisupervised Learning

1 
20140428 
287.25kB 
18  1+ 
0 

Improving CUR Matrix Decomposition and the Nystrom Approximation via Adaptive Sampling

1 
20140428 
691.67kB 
23  1+ 
0 

Learning Multiple Tasks with Kernel Methods

1 
20140428 
164.09kB 
31  3+ 
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Consistency and Localizability

1 
20140428 
223.51kB 
19  1+ 
0 

RLGlue: LanguageIndependent Software for ReinforcementLearning Experiments(Machine Learning Open Source Software Paper)

1 
20140428 
50.88kB 
24  1+ 
1 

Multiclass Boosting for Weak Classifiers

1 
20140428 
194.47kB 
19  1+ 
0 

Application of Non Parametric Empirical Bayes Estimation to High Dimensional Classification

1 
20140428 
140.39kB 
17  1+ 
0 

When Is There a Representer Theorem? Vector Versus Matrix Regularizers

1 
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196.77kB 
22  1+ 
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Active Learning to Recognize Multiple Types of Plankton

1 
20140428 
216.98kB 
24  1+ 
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Learning the Kernel with Hyperkernels (Kernel Machines Section)

1 
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434.77kB 
30  1+ 
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Using Local Dependencies within Batches to Improve Large Margin Classifiers

1 
20140428 
268.98kB 
22  1+ 
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Information Bottleneck for Gaussian Variables

1 
20140428 
518.38kB 
18  1+ 
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Machine Learning Methods for Predicting Failures in Hard Drives: A MultipleInstance Application

1 
20140428 
274.51kB 
31  1+ 
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What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks

1 
20140428 
276.21kB 
20  1+ 
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A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data

1 
20140428 
401.64kB 
24  1+ 
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An MDPBased Recommender System

1 
20140428 
569.22kB 
44  2+ 
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Estimation of Sparse Binary Pairwise Markov Networks using Pseudolikelihoods

1 
20140428 
243.92kB 
21  1+ 
0 

Nonlinear Boosting Projections for Ensemble Construction

1 
20140428 
10.52MB 
28  1+ 
0 

Scalable Collaborative Filtering Approaches for Large Recommender Systems(Special Topic on Mining and Learning with Graphs and Relations)

1 
20140428 
335.41kB 
53  1+ 
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GPstuff: Bayesian Modeling with Gaussian Processes

1 
20140428 
74.12kB 
19  1+ 
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Beyond Fano's Inequality: Bounds on the Optimal FScore, BER, and CostSensitive Risk and Their Implications

1 
20140428 
542.56kB 
20  1+ 
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JavaML: A Machine Learning Library(Machine Learning Open Source Software Paper)

1 
20140428 
28.92kB 
88  2+ 
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Ultrahigh Dimensional Feature Selection: Beyond The Linear Model

1 
20140428 
195.89kB 
21  1+ 
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MAGIC Summoning: Towards Automatic Suggesting and Testing of Gestures With Low Probability of False Positives During Use

1 
20140428 
2.04MB 
23  1+ 
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An Algorithm for Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity

1 
20140428 
190.69kB 
20  1+ 
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Denoising Source Separation

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20140428 
1.95MB 
18  1+ 
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Expectation Consistent Approximate Inference

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284.26kB 
19  1+ 
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Sparse Online Learning via Truncated Gradient

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287.28kB 
18  1+ 
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Working Set Selection Using Second Order Information for Training Support Vector Machines

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440.14kB 
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Controlling the False Discovery Rate of the AssociationCausality Structure Learned with the PC Algorithm(Special Topic on Mining and Learning with Graphs and Relations)

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20140428 
469.20kB 
23  1+ 
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Frames, Reproducing Kernels, Regularization and Learning

1 
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338.35kB 
20  1+ 
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Tapkee: An Efficient Dimension Reduction Library

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598.47kB 
22  1+ 
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Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising

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1.39MB 
32  1+ 
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Python Environment for Bayesian Learning: Inferring the Structure of Bayesian Networks from Knowledge and Data(Machine Learning Open Source Software Paper)

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37.22kB 
109  3+ 
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Variational Algorithms for Marginal MAP

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665.80kB 
19  1+ 
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Distributed Algorithms for Topic Models

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332.89kB 
25  1+ 
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Parallel Vector Field Embedding

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4.10MB 
26  1+ 
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Multitask Reinforcement Learning in Partially Observable Stochastic Environments

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670.45kB 
22  1+ 
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How to Solve Classification and Regression Problems on HighDimensional Data with a Supervised Extension of Slow Feature Analysis

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1.19MB 
28  2+ 
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Universal KernelBased Learning with Applications to Regular Languages(Special Topic on Mining and Learning with Graphs and Relations)

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20140428 
282.09kB 
25  1+ 
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Identification of Recurrent Neural Networks by Bayesian Interrogation Techniques

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878.32kB 
35  1+ 
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LowRank Kernel Learning with Bregman Matrix Divergences

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390.24kB 
27  3+ 
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Learning Acyclic Probabilistic Circuits Using Test Paths

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261.89kB 
18  1+ 
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Settable Systems: An Extension of Pearl's Causal Model with Optimization, Equilibrium, and Learning

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377.57kB 
21  1+ 
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Learning Approximate Sequential Patterns for Classification

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199.95kB 
21  1+ 
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Combining Information Extraction Systems Using Voting and Stacked Generalization

1 
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407.66kB 
26  1+ 
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Adaptive False Discovery Rate Control under Independence and Dependence

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364.22kB 
18  1+ 
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Learning Linear Ranking Functions for Beam Search with Application to Planning

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354.72kB 
24  1+ 
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SGDQN: Careful QuasiNewton Stochastic Gradient Descent

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151.45kB 
21  1+ 
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Bayesian Network Structure Learning by Recursive Autonomy Identification

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532.30kB 
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SubLocal ConstraintBased Learning of Bayesian Networks Using A Joint Dependence Criterion

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614.81kB 
25  1+ 
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Global Analytic Solution of Fullyobserved Variational Bayesian Matrix Factorization

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507.62kB 
23  1+ 
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Stable and Efficient Gaussian Process Calculations

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246.97kB 
22  1+ 
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Gaussian KullbackLeibler Approximate Inference

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922.45kB 
23  1+ 
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Similaritybased Clustering by LeftStochastic Matrix Factorization

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317.14kB 
17  1+ 
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Hybrid MPIOpenMP Parallel Linear Support Vector Machine Training

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133.81kB 
21  1+ 
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Deterministic Error Analysis of Support Vector Regression and Related Regularized Kernel Methods

1 
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163.77kB 
20  1+ 
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Largescale SVD and Manifold Learning

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4.35MB 
18  1+ 
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Algorithms for Discovery of Multiple Markov Boundaries

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831.15kB 
26  1+ 
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Similaritybased Classification: Concepts and Algorithms

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8.74MB 
42  1+ 
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Prediction With Expert Advice For The Brier Game

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1.34MB 
18  1+ 
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The Hidden Life of Latent Variables: Bayesian Learning with Mixed Graph Models

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676.53kB 
36  1+ 
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Generalized SpikeandSlab Priors for Bayesian Group Feature Selection Using Expectation Propagation

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1.66MB 
23  1+ 
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Estimating Labels from Label Proportions

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390.11kB 
21  1+ 
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Robust Process Discovery with Artificial Negative Events(Special Topic on Mining and Learning with Graphs and Relations)

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499.13kB 
29  1+ 
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Fast Approximate kNN Graph Construction for High Dimensional Data via Recursive Lanczos Bisection

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3.24MB 
20  1+ 
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Lovasz theta function, SVMs and Finding Dense Subgraphs

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730.31kB 
25  1+ 
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Perturbation Corrections in Approximate Inference: Mixture Modelling Applications

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863.46kB 
24  1+ 
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StationarySparse Causality Network Learning

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416.79kB 
16  1+ 
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Computing Maximum Likelihood Estimates in Recursive Linear Models with Correlated Errors

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174.47kB 
27  1+ 
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QuasiNewton Method: A New Direction

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297.81kB 
24  1+ 
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Datadriven Calibration of Penalties for LeastSquares Regression

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262.75kB 
25  1+ 
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Analysis of PerceptronBased Active Learning

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176.01kB 
31  1+ 
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Properties of Monotonic Effects on Directed Acyclic Graphs

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181.59kB 
24  1+ 
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CarpeDiem: Optimizing the Viterbi Algorithm and Applications to Supervised Sequential Learning

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1.15MB 
25  1+ 
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Truncated Power Method for Sparse Eigenvalue Problems

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645.50kB 
22  1+ 
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Sparse Matrix Inversion with Scaled Lasso

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313.35kB 
19  1+ 
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Robustness and Regularization of Support Vector Machines

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189.27kB 
24  1+ 
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Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models

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564.84kB 
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Exploiting Product Distributions to Identify Relevant Variables of Correlation Immune Functions

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314.36kB 
31  1+ 
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Keep It Simple And Sparse: RealTime Action Recognition

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1.87MB 
37  1+ 
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Online Learning with Sample Path Constraints

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192.14kB 
29  1+ 
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Reinforcement Learning in Finite MDPs: PAC Analysis

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272.55kB 
26  1+ 
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A Survey of Accuracy Evaluation Metrics of Recommendation Tasks

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267.62kB 
19  1+ 
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Orange: Data Mining Toolbox in Python

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63.40kB 
95  1+ 
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Multivariate Convex Regression with Adaptive Partitioning

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1.73MB 
25  1+ 
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Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination(Special Topic on Model Selection)

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200.94kB 
24  1+ 
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Dynamic AffineInvariant ShapeAppearance Handshape Features and Classification in Sign Language Videos

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3.98MB 
23  1+ 
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Distributions of Angles in Random Packing on Spheres

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276.01kB 
24  1+ 
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Alleviating Naive Bayes Attribute Independence Assumption by Attribute Weighting

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442.45kB 
21  1+ 
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Greedy SparsityConstrained Optimization

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362.50kB 
24  2+ 
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Lower Bounds and Selectivity of WeakConsistent Policies in Stochastic MultiArmed Bandit Problem

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200.24kB 
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The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs

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1.53MB 
22  1+ 
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BudgetedSVM: A Toolbox for Scalable SVM Approximations

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74.78kB 
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Ranked Bandits in Metric Spaces: Learning Diverse Rankings over Large Document Collections

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325.55kB 
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Sparse Activity and Sparse Connectivity in Supervised Learning

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526.25kB 
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Classifying With Confidence From Incomplete Information

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1.09MB 
24  1+ 
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Learning Theory Analysis for Association Rules and Sequential Event Prediction

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1.99MB 
24  1+ 
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Optimal Discovery with Probabilistic Expert Advice: Finite Time Analysis and Macroscopic Optimality

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327.20kB 
21  1+ 
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Fast MCMC Sampling for Markov Jump Processes and Extensions

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393.64kB 
22  1+ 
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A Leastsquares Approach to Direct Importance Estimation

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849.23kB 
25  1+ 
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Oneshot Learning Gesture Recognition from RGBD Data Using Bag of Features

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2.95MB 
22  1+ 
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Kernel Bayes' Rule: Bayesian Inference with Positive Definite Kernels

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329.17kB 
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Dimension Independent Similarity Computation

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190.02kB 
21  1+ 
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Ranking Forests

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1.01MB 
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Pairwise Likelihood Ratios for Estimation of NonGaussian Structural Equation Models

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1.16MB 
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On the Convergence of Maximum Variance Unfolding

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219.46kB 
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Differential Privacy for Functions and Functional Data

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314.75kB 
20  1+ 
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Conjugate Relation between Loss Functions and Uncertainty Sets in Classification Problems

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535.15kB 
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Divvy: Fast and Intuitive Exploratory Data Analysis

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276.72kB 
24  1+ 
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CODA: High Dimensional Copula Discriminant Analysis

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399.30kB 
19  1+ 
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Using Symmetry and Evolutionary Search to Minimize Sorting Networks

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507.96kB 
23  1+ 
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A Framework for Evaluating Approximation Methods for Gaussian Process Regression

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331.77kB 
25  1+ 
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Bayesian Nonparametric Hidden SemiMarkov Models

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586.13kB 
30  1+ 
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Stochastic Variational Inference

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397.78kB 
23  1+ 
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Comment on "Robustness and Regularization of Support Vector Machines" by H. Xu et al. (Journal of Machine Learning Research, vol. 10, pp. 14851510, 2009)

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41.09kB 
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On the Mutual Nearest Neighbors Estimate in Regression

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142.78kB 
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Training EnergyBased Models for TimeSeries Imputation

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419.20kB 
27  1+ 
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Greedy Feature Selection for Subspace Clustering

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956.72kB 
21  1+ 
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Query Induction with SchemaGuided Pruning Strategies

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424.42kB 
25  1+ 
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Convex and Scalable Weakly Labeled SVMs

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1.03MB 
21  1+ 
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MLPACK: A Scalable C++ Machine Learning Library

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68.23kB 
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Cluster Analysis: Unsupervised Learning via Supervised Learning with a Nonconvex Penalty

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240.33kB 
30  1+ 
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Efficient Active Learning of Halfspaces: An Aggressive Approach

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2.89MB 
23  1+ 
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A BinaryClassificationBased Metric between TimeSeries Distributions and Its Use in Statistical and Learning Problems

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207.38kB 
23  1+ 
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Nonparametric Sparsity and Regularization

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612.85kB 
26  1+ 
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LanguageMotivated Approaches to Action Recognition

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1.74MB 
33  1+ 
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A MaxNorm Constrained Minimization Approach to 1Bit Matrix Completion

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269.06kB 
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Finding Optimal Bayesian Networks Using Precedence Constraints

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343.11kB 
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Risk Bounds of Learning Processes for Lvy Processes

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273.29kB 
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GURLS: A Least Squares Library for Supervised Learning

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76.03kB 
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Bayesian Canonical Correlation Analysis

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515.47kB 
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The Rate of Convergence of AdaBoost

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314.88kB 
23  1+ 
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The CAM Software for Nonnegative Blind Source Separation in RJava

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637.86kB 
45  1+ 
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Learning Theory Approach to Minimum Error Entropy Criterion

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194.96kB 
23  1+ 
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Segregating Event Streams and Noise with a Markov Renewal Process Model

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744.31kB 
23  1+ 
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MessagePassing Algorithms for Quadratic Minimization

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264.04kB 
30  1+ 
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SemiSupervised Learning Using Greedy MaxCut

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1.49MB 
27  1+ 
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A Theory of Multiclass Boosting

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2.96MB 
25  1+ 
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Multicategory LargeMargin Unified Machines

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612.67kB 
21  1+ 
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Construction of Approximation Spaces for Reinforcement Learning

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778.55kB 
23  1+ 
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Classifier Selection using the Predicate Depth

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243.22kB 
20  1+ 
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Derivative Estimation with Local Polynomial Fitting

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590.78kB 
10  
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PC Algorithm for Nonparanormal Graphical Models

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177.77kB 
33  3+ 
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DistributionDependent Sample Complexity of Large Margin Learning

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335.74kB 
21  1+ 
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MultiStage MultiTask Feature Learning

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304.00kB 
23  1+ 
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Sparse SingleIndex Model

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321.56kB 
24  1+ 
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Random Spanning Trees and the Prediction of Weighted Graphs

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369.54kB 
26  3+ 
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A C++ TemplateBased Reinforcement Learning Library: Fitting the Code to the Mathematics

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70.37kB 
49  1+ 
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Optimally Fuzzy Temporal Memory

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674.31kB 
23  1+ 
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Fast Generalized Subset Scan for Anomalous Pattern Detection

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2.76MB 
25  1+ 
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A Risk Comparison of Ordinary Least Squares vs Ridge Regression

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189.76kB 
30  1+ 
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QuantMiner for Mining Quantitative Association Rules

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319.05kB 
33  1+ 
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Consistent Selection of Tuning Parameters via Variable Selection Stability

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251.37kB 
20  1+ 
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Supervised Feature Selection in Graphs with Path Coding Penalties and Network Flows

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373.95kB 
21  1+ 
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Machine Learning with Operational Costs

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824.49kB 
29  1+ 
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Random Walk Kernels and Learning Curves for Gaussian Process Regression on Random Graphs

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517.11kB 
21  1+ 
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Learning Bilinear Model for Matching Queries and Documents

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350.48kB 
22  1+ 
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Stress Functions for Nonlinear Dimension Reduction, Proximity Analysis, and Graph Drawing

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593.04kB 
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