Type  Name 
Files  Added  Size  DLs   

Scikitlearn: Machine Learning in Python

1 
20140428 
42.31kB 
2,466  22+ 
0 

Structural Learning of Chain Graphs via Decomposition

1 
20140428 
809.44kB 
38  6+ 
0 

Anytime Learning of Decision Trees

1 
20140428 
364.51kB 
41  5+ 
0 

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

1 
20140428 
231.51kB 
142  5+ 
0 

PC Algorithm for Nonparanormal Graphical Models

1 
20140428 
177.77kB 
77  4+ 
0 

Random Spanning Trees and the Prediction of Weighted Graphs

1 
20140428 
369.54kB 
52  4+ 
0 

Training EnergyBased Models for TimeSeries Imputation

1 
20140428 
419.20kB 
48  4+ 
0 

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

1 
20140428 
37.22kB 
217  4+ 
0 

LowRank Kernel Learning with Bregman Matrix Divergences

1 
20140428 
390.24kB 
51  4+ 
0 

Learning Multiple Tasks with Kernel Methods

1 
20140428 
164.09kB 
58  4+ 
0 

Hash Kernels for Structured Data

1 
20140428 
260.30kB 
46  4+ 
0 

Change Point Problems in Linear Dynamical Systems

1 
20140428 
230.78kB 
54  4+ 
0 

Synergistic Face Detection and Pose Estimation with EnergyBased Models

1 
20140428 
2.24MB 
39  4+ 
0 

Bayesian Inference and Optimal Design for the Sparse Linear Model

1 
20140428 
448.97kB 
166  4+ 
0 

An Introduction to Artificial Prediction Markets for Classification

1 
20140428 
382.03kB 
117  4+ 
0 

An Improved GLMNET for L1regularized Logistic Regression

1 
20140428 
549.24kB 
55  4+ 
0 

Ranking a Random Feature for Variable and Feature Selection

1 
20140428 
142.45kB 
46  4+ 
0 

LargeSample Learning of Bayesian Networks is NPHard

1 
20140428 
342.07kB 
69  4+ 
0 

Tracking the Best Linear Predictor

1 
20140428 
476.95kB 
69  4+ 
0 

On Learning with Integral Operators

1 
20140428 
229.28kB 
52  4+ 
0 

A Geometric Approach to Sample Compression

1 
20140428 
501.02kB 
56  4+ 
0 

Image Denoising with Kernels Based on Natural Image Relations

1 
20140428 
1.77MB 
61  4+ 
0 

EnergyBased Models for Sparse Overcomplete Representations

1 
20140428 
218.01kB 
36  4+ 
0 

Security Analysis of Online Centroid Anomaly Detection

1 
20140428 
912.39kB 
109  4+ 
0 

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

1 
20140428 
316.40kB 
62  4+ 
0 

Orange: Data Mining Toolbox in Python

1 
20140428 
63.40kB 
209  3+ 
0 

Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space (Kernel Machines Section)

1 
20140428 
253.43kB 
57  3+ 
0 

Coupled Clustering: A Method for Detecting Structural Correspondence

1 
20140428 
111.02kB 
62  3+ 
0 

Pattern for Python

1 
20140428 
94.19kB 
261  3+ 
0 

A Kernel TwoSample Test

1 
20140428 
479.88kB 
207  3+ 
0 

Stress Functions for Nonlinear Dimension Reduction, Proximity Analysis, and Graph Drawing

1 
20140428 
593.04kB 
127  2+ 
0 

A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior

1 
20140428 
227.71kB 
41  2+ 
0 

Exploring Strategies for Training Deep Neural Networks

1 
20140428 
973.02kB 
133  2+ 
0 

Spam Filtering Using Statistical Data Compression Models (Special Topic on Machine Learning for Computer Security)

1 
20140428 
336.31kB 
64  2+ 
0 

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

1 
20140428 
275.12kB 
74  2+ 
0 

Incorporating Functional Knowledge in Neural Networks

1 
20140428 
181.14kB 
49  2+ 
0 

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

1 
20140428 
206.73kB 
83  2+ 
0 

Bayesian CoTraining

1 
20140428 
377.65kB 
39  2+ 
0 

A Direct Method for Building Sparse Kernel Learning Algorithms

1 
20140428 
282.87kB 
40  2+ 
0 

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

1 
20140428 
345.18kB 
38  2+ 
0 

An Efficient Explanation of Individual Classifications using Game Theory

1 
20140428 
690.80kB 
70  2+ 
0 

Transfer in Reinforcement Learning via Shared Features

1 
20140428 
434.22kB 
44  2+ 
0 

ConfidenceWeighted Linear Classification for Text Categorization

1 
20140428 
2.04MB 
47  2+ 
0 

A Neural Probabilistic Language Model

1 
20140428 
242.24kB 
96  2+ 
0 

Learning Evaluation Functions to Improve Optimization by Local Search

1 
20140428 
568.36kB 
69  2+ 
0 

Importance Sampling for Continuous Time Bayesian Networks

1 
20140428 
246.97kB 
59  2+ 
0 

Shark(Machine Learning Open Source Software Paper)

1 
20140428 
503.86kB 
143  2+ 
0 

Optimally Fuzzy Temporal Memory

1 
20140428 
674.31kB 
40  1+ 
0 

Fast Generalized Subset Scan for Anomalous Pattern Detection

1 
20140428 
2.76MB 
38  1+ 
0 

A Risk Comparison of Ordinary Least Squares vs Ridge Regression

1 
20140428 
189.76kB 
52  1+ 
0 

QuantMiner for Mining Quantitative Association Rules

1 
20140428 
319.05kB 
50  1+ 
0 

Consistent Selection of Tuning Parameters via Variable Selection Stability

1 
20140428 
251.37kB 
35  1+ 
0 

Supervised Feature Selection in Graphs with Path Coding Penalties and Network Flows

1 
20140428 
373.95kB 
41  1+ 
0 

Machine Learning with Operational Costs

1 
20140428 
824.49kB 
53  1+ 
0 

Random Walk Kernels and Learning Curves for Gaussian Process Regression on Random Graphs

1 
20140428 
517.11kB 
36  1+ 
0 

Learning Bilinear Model for Matching Queries and Documents

1 
20140428 
350.48kB 
36  1+ 
0 

The Rate of Convergence of AdaBoost

1 
20140428 
314.88kB 
38  1+ 
0 

The CAM Software for Nonnegative Blind Source Separation in RJava

1 
20140428 
637.86kB 
69  1+ 
0 

Learning Theory Approach to Minimum Error Entropy Criterion

1 
20140428 
194.96kB 
47  1+ 
0 

Segregating Event Streams and Noise with a Markov Renewal Process Model

1 
20140428 
744.31kB 
45  1+ 
0 

MessagePassing Algorithms for Quadratic Minimization

1 
20140428 
264.04kB 
49  1+ 
0 

SemiSupervised Learning Using Greedy MaxCut

1 
20140428 
1.49MB 
38  1+ 
0 

A Theory of Multiclass Boosting

1 
20140428 
2.96MB 
42  1+ 
0 

Multicategory LargeMargin Unified Machines

1 
20140428 
612.67kB 
36  1+ 
0 

Construction of Approximation Spaces for Reinforcement Learning

1 
20140428 
778.55kB 
47  1+ 
0 

Classifier Selection using the Predicate Depth

1 
20140428 
243.22kB 
39  1+ 
0 

DistributionDependent Sample Complexity of Large Margin Learning

1 
20140428 
335.74kB 
34  1+ 
0 

MultiStage MultiTask Feature Learning

1 
20140428 
304.00kB 
45  1+ 
0 

Sparse SingleIndex Model

1 
20140428 
321.56kB 
42  1+ 
0 

Greedy Feature Selection for Subspace Clustering

1 
20140428 
956.72kB 
38  1+ 
0 

Query Induction with SchemaGuided Pruning Strategies

1 
20140428 
424.42kB 
44  1+ 
0 

Convex and Scalable Weakly Labeled SVMs

1 
20140428 
1.03MB 
37  1+ 
0 

A BinaryClassificationBased Metric between TimeSeries Distributions and Its Use in Statistical and Learning Problems

1 
20140428 
207.38kB 
39  1+ 
0 

Nonparametric Sparsity and Regularization

1 
20140428 
612.85kB 
44  1+ 
0 

LanguageMotivated Approaches to Action Recognition

1 
20140428 
1.74MB 
55  1+ 
0 

A MaxNorm Constrained Minimization Approach to 1Bit Matrix Completion

1 
20140428 
269.06kB 
30  1+ 
0 

Finding Optimal Bayesian Networks Using Precedence Constraints

1 
20140428 
343.11kB 
36  1+ 
0 

Risk Bounds of Learning Processes for Lvy Processes

1 
20140428 
273.29kB 
40  1+ 
0 

Bayesian Canonical Correlation Analysis

1 
20140428 
515.47kB 
44  1+ 
0 

Dimension Independent Similarity Computation

1 
20140428 
190.02kB 
32  1+ 
0 

Ranking Forests

1 
20140428 
1.01MB 
35  1+ 
0 

Pairwise Likelihood Ratios for Estimation of NonGaussian Structural Equation Models

1 
20140428 
1.16MB 
42  1+ 
0 

On the Convergence of Maximum Variance Unfolding

1 
20140428 
219.46kB 
35  1+ 
0 

Differential Privacy for Functions and Functional Data

1 
20140428 
314.75kB 
35  1+ 
0 

Conjugate Relation between Loss Functions and Uncertainty Sets in Classification Problems

1 
20140428 
535.15kB 
49  1+ 
0 

Using Symmetry and Evolutionary Search to Minimize Sorting Networks

1 
20140428 
507.96kB 
41  1+ 
0 

A Framework for Evaluating Approximation Methods for Gaussian Process Regression

1 
20140428 
331.77kB 
43  1+ 
0 

Bayesian Nonparametric Hidden SemiMarkov Models

1 
20140428 
586.13kB 
57  1+ 
0 

Stochastic Variational Inference

1 
20140428 
397.78kB 
40  1+ 
0 

On the Mutual Nearest Neighbors Estimate in Regression

1 
20140428 
142.78kB 
30  1+ 
0 

Multivariate Convex Regression with Adaptive Partitioning

1 
20140428 
1.73MB 
47  1+ 
0 

Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination(Special Topic on Model Selection)

1 
20140428 
200.94kB 
36  1+ 
0 

Dynamic AffineInvariant ShapeAppearance Handshape Features and Classification in Sign Language Videos

1 
20140428 
3.98MB 
38  1+ 
0 

Distributions of Angles in Random Packing on Spheres

1 
20140428 
276.01kB 
39  1+ 
0 

Alleviating Naive Bayes Attribute Independence Assumption by Attribute Weighting

1 
20140428 
442.45kB 
37  1+ 
0 

Greedy SparsityConstrained Optimization

1 
20140428 
362.50kB 
35  1+ 
0 

Lower Bounds and Selectivity of WeakConsistent Policies in Stochastic MultiArmed Bandit Problem

1 
20140428 
200.24kB 
30  1+ 
0 

Sparse Activity and Sparse Connectivity in Supervised Learning

1 
20140428 
526.25kB 
37  1+ 
0 

Classifying With Confidence From Incomplete Information

1 
20140428 
1.09MB 
37  1+ 
0 

Learning Theory Analysis for Association Rules and Sequential Event Prediction

1 
20140428 
1.99MB 
35  1+ 
0 

Fast MCMC Sampling for Markov Jump Processes and Extensions

1 
20140428 
393.64kB 
34  1+ 
0 

A Leastsquares Approach to Direct Importance Estimation

1 
20140428 
849.23kB 
41  1+ 
0 

Oneshot Learning Gesture Recognition from RGBD Data Using Bag of Features

1 
20140428 
2.95MB 
39  1+ 
0 

Computing Maximum Likelihood Estimates in Recursive Linear Models with Correlated Errors

1 
20140428 
174.47kB 
55  1+ 
0 

Datadriven Calibration of Penalties for LeastSquares Regression

1 
20140428 
262.75kB 
36  1+ 
0 

Analysis of PerceptronBased Active Learning

1 
20140428 
176.01kB 
42  1+ 
0 

Properties of Monotonic Effects on Directed Acyclic Graphs

1 
20140428 
181.59kB 
33  1+ 
0 

Truncated Power Method for Sparse Eigenvalue Problems

1 
20140428 
645.50kB 
48  1+ 
0 

Sparse Matrix Inversion with Scaled Lasso

1 
20140428 
313.35kB 
31  1+ 
0 

Robustness and Regularization of Support Vector Machines

1 
20140428 
189.27kB 
49  1+ 
0 

Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models

1 
20140428 
564.84kB 
32  1+ 
0 

Exploiting Product Distributions to Identify Relevant Variables of Correlation Immune Functions

1 
20140428 
314.36kB 
48  1+ 
0 

Online Learning with Sample Path Constraints

1 
20140428 
192.14kB 
43  1+ 
0 

A Survey of Accuracy Evaluation Metrics of Recommendation Tasks

1 
20140428 
267.62kB 
35  1+ 
0 

SubLocal ConstraintBased Learning of Bayesian Networks Using A Joint Dependence Criterion

1 
20140428 
614.81kB 
52  1+ 
0 

Global Analytic Solution of Fullyobserved Variational Bayesian Matrix Factorization

1 
20140428 
507.62kB 
39  1+ 
0 

Stable and Efficient Gaussian Process Calculations

1 
20140428 
246.97kB 
32  1+ 
0 

Gaussian KullbackLeibler Approximate Inference

1 
20140428 
922.45kB 
40  1+ 
0 

Similaritybased Clustering by LeftStochastic Matrix Factorization

1 
20140428 
317.14kB 
30  1+ 
0 

Hybrid MPIOpenMP Parallel Linear Support Vector Machine Training

1 
20140428 
133.81kB 
38  1+ 
0 

Deterministic Error Analysis of Support Vector Regression and Related Regularized Kernel Methods

1 
20140428 
163.77kB 
37  1+ 
0 

Largescale SVD and Manifold Learning

1 
20140428 
4.35MB 
32  1+ 
0 

Algorithms for Discovery of Multiple Markov Boundaries

1 
20140428 
831.15kB 
41  1+ 
0 

Prediction With Expert Advice For The Brier Game

1 
20140428 
1.34MB 
35  1+ 
0 

Generalized SpikeandSlab Priors for Bayesian Group Feature Selection Using Expectation Propagation

1 
20140428 
1.66MB 
34  1+ 
0 

Estimating Labels from Label Proportions

1 
20140428 
390.11kB 
34  1+ 
0 

Robust Process Discovery with Artificial Negative Events(Special Topic on Mining and Learning with Graphs and Relations)

1 
20140428 
499.13kB 
44  1+ 
0 

Fast Approximate kNN Graph Construction for High Dimensional Data via Recursive Lanczos Bisection

1 
20140428 
3.24MB 
40  1+ 
0 

Lovasz theta function, SVMs and Finding Dense Subgraphs

1 
20140428 
730.31kB 
35  1+ 
0 

StationarySparse Causality Network Learning

1 
20140428 
416.79kB 
30  1+ 
0 

Variational Algorithms for Marginal MAP

1 
20140428 
665.80kB 
43  1+ 
0 

Distributed Algorithms for Topic Models

1 
20140428 
332.89kB 
41  1+ 
0 

Parallel Vector Field Embedding

1 
20140428 
4.10MB 
36  1+ 
0 

Multitask Reinforcement Learning in Partially Observable Stochastic Environments

1 
20140428 
670.45kB 
34  1+ 
0 

How to Solve Classification and Regression Problems on HighDimensional Data with a Supervised Extension of Slow Feature Analysis

1 
20140428 
1.19MB 
43  1+ 
0 

Universal KernelBased Learning with Applications to Regular Languages(Special Topic on Mining and Learning with Graphs and Relations)

1 
20140428 
282.09kB 
36  1+ 
0 

Identification of Recurrent Neural Networks by Bayesian Interrogation Techniques

1 
20140428 
878.32kB 
59  1+ 
0 

Learning Acyclic Probabilistic Circuits Using Test Paths

1 
20140428 
261.89kB 
33  1+ 
0 

Learning Approximate Sequential Patterns for Classification

1 
20140428 
199.95kB 
32  1+ 
0 

Combining Information Extraction Systems Using Voting and Stacked Generalization

1 
20140428 
407.66kB 
45  1+ 
0 

Adaptive False Discovery Rate Control under Independence and Dependence

1 
20140428 
364.22kB 
31  1+ 
0 

Learning Linear Ranking Functions for Beam Search with Application to Planning

1 
20140428 
354.72kB 
37  1+ 
0 

Bayesian Network Structure Learning by Recursive Autonomy Identification

1 
20140428 
532.30kB 
41  1+ 
0 

JavaML: A Machine Learning Library(Machine Learning Open Source Software Paper)

1 
20140428 
28.92kB 
154  1+ 
0 

An Algorithm for Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity

1 
20140428 
190.69kB 
34  1+ 
0 

Denoising Source Separation

1 
20140428 
1.95MB 
31  1+ 
0 

Expectation Consistent Approximate Inference

1 
20140428 
284.26kB 
34  1+ 
0 

Sparse Online Learning via Truncated Gradient

1 
20140428 
287.28kB 
32  1+ 
0 

Working Set Selection Using Second Order Information for Training Support Vector Machines

1 
20140428 
440.14kB 
33  1+ 
0 

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

1 
20140428 
469.20kB 
30  1+ 
0 

Frames, Reproducing Kernels, Regularization and Learning

1 
20140428 
338.35kB 
30  1+ 
0 

Consistency and Localizability

1 
20140428 
223.51kB 
30  1+ 
0 

Multiclass Boosting for Weak Classifiers

1 
20140428 
194.47kB 
29  1+ 
0 

Application of Non Parametric Empirical Bayes Estimation to High Dimensional Classification

1 
20140428 
140.39kB 
26  1+ 
0 

Active Learning to Recognize Multiple Types of Plankton

1 
20140428 
216.98kB 
41  1+ 
0 

Learning the Kernel with Hyperkernels (Kernel Machines Section)

1 
20140428 
434.77kB 
47  1+ 
0 

Using Local Dependencies within Batches to Improve Large Margin Classifiers

1 
20140428 
268.98kB 
36  1+ 
0 

Information Bottleneck for Gaussian Variables

1 
20140428 
518.38kB 
30  1+ 
0 

A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data

1 
20140428 
401.64kB 
40  1+ 
0 

An MDPBased Recommender System

1 
20140428 
569.22kB 
63  1+ 
0 

Estimation of Sparse Binary Pairwise Markov Networks using Pseudolikelihoods

1 
20140428 
243.92kB 
31  1+ 
0 

Nonlinear Boosting Projections for Ensemble Construction

1 
20140428 
10.52MB 
43  1+ 
0 

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

1 
20140428 
335.41kB 
70  1+ 
0 

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

1 
20140428 
332.07kB 
29  1+ 
0 

An Analysis of Convex Relaxations for MAP Estimation of Discrete MRFs

1 
20140428 
827.67kB 
39  1+ 
0 

Gaussian Processes for Ordinal Regression

1 
20140428 
269.26kB 
32  1+ 
0 

Large Margin Methods for Structured and Interdependent Output Variables

1 
20140428 
240.67kB 
32  1+ 
0 

Stability of Randomized Learning Algorithms

1 
20140428 
177.76kB 
40  1+ 
0 

Learning from Examples as an Inverse Problem

1 
20140428 
149.25kB 
40  1+ 
0 

A Unifying View of Sparse Approximate Gaussian Process Regression

1 
20140428 
254.63kB 
33  1+ 
0 

Classification with Gaussians and Convex Loss

1 
20140428 
188.00kB 
31  1+ 
0 

Prioritization Methods for Accelerating MDP Solvers

1 
20140428 
542.57kB 
36  1+ 
0 

On the Effectiveness of Laplacian Normalization for Graph Semisupervised Learning

1 
20140428 
287.25kB 
29  1+ 
0 

Improving CUR Matrix Decomposition and the Nystrom Approximation via Adaptive Sampling

1 
20140428 
691.67kB 
33  1+ 
0 

Multiclass Classification with MultiPrototype Support Vector Machines

1 
20140428 
375.44kB 
27  1+ 
0 

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

1 
20140428 
174.96kB 
31  1+ 
0 

Nonextensive Information Theoretic Kernels on Measures

1 
20140428 
377.54kB 
36  1+ 
0 

Consistent Feature Selection for Pattern Recognition in Polynomial Time

1 
20140428 
362.46kB 
34  1+ 
0 

Refinement of Reproducing Kernels

1 
20140428 
239.00kB 
32  1+ 
0 

Assessing Approximate Inference for Binary Gaussian Process Classification

1 
20140428 
483.69kB 
36  1+ 
0 

Noise Tolerant Variants of the Perceptron Algorithm

1 
20140428 
318.94kB 
41  1+ 
0 

Smooth Insensitive Regression by Loss Symmetrization

1 
20140428 
416.45kB 
32  1+ 
0 

Cautious Collective Classification

1 
20140428 
525.68kB 
37  1+ 
0 

Learning When Concepts Abound

1 
20140428 
351.75kB 
31  1+ 
0 

Learning Module Networks

1 
20140428 
406.70kB 
66  1+ 
0 

Loop Corrections for Approximate Inference on Factor Graphs

1 
20140428 
781.06kB 
32  1+ 
0 

Penalized ModelBased Clustering with Application to Variable Selection

1 
20140428 
127.93kB 
36  1+ 
0 

TreeBased Batch Mode Reinforcement Learning

1 
20140428 
1.32MB 
36  1+ 
0 

Learning Halfspaces with Malicious Noise

1 
20140428 
193.75kB 
41  1+ 
0 

Ranking the Best Instances

1 
20140428 
245.84kB 
34  1+ 
0 

Variational Message Passing

1 
20140428 
456.23kB 
37  1+ 
0 

Managing Diversity in Regression Ensembles

1 
20140428 
251.19kB 
34  1+ 
0 

Efficient Online and Batch Learning Using Forward Backward Splitting

1 
20140428 
514.50kB 
35  1+ 
0 

Generalization Bounds for Ranking Algorithms via Algorithmic Stability

1 
20140428 
262.74kB 
51  1+ 
0 

Kernel Methods for Measuring Independence

1 
20140428 
478.95kB 
32  1+ 
0 

Behavioral Shaping for Geometric Concepts

1 
20140428 
234.07kB 
38  1+ 
0 

Undercomplete Blind Subspace Deconvolution

1 
20140428 
803.71kB 
35  1+ 
0 

Joint Harmonic Functions and Their Supervised Connections

1 
20140428 
749.03kB 
32  1+ 
0 

A Generalized Maximum Entropy Approach to Bregman Coclustering and Matrix Approximation

1 
20140428 
518.05kB 
38  1+ 
0 

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

1 
20140428 
192.02kB 
34  1+ 
0 

The OnLine Shortest Path Problem Under Partial Monitoring

1 
20140428 
389.69kB 
35  1+ 
0 

Fast Kernel Classifiers with Online and Active Learning

1 
20140428 
507.26kB 
37  1+ 
0 

Convergence Theorems for Generalized Alternating Minimization Procedures

1 
20140428 
170.83kB 
38  1+ 
0 

Learnability of Gaussians with Flexible Variances

1 
20140428 
226.30kB 
32  1+ 
0 

Algorithms and Hardness Results for Parallel Large Margin Learning

1 
20140428 
222.17kB 
38  1+ 
0 

RegularizationFree Principal Curve Estimation

1 
20140428 
1.30MB 
31  1+ 
0 

Toward Attribute Efficient Learning of Decision Lists and Parities

1 
20140428 
129.72kB 
31  1+ 
0 

Euclidean Embedding of Cooccurrence Data

1 
20140428 
908.31kB 
34  1+ 
0 

Reproducing Kernel Banach Spaces for Machine Learning

1 
20140428 
245.38kB 
29  1+ 
0 

Active Coevolutionary Learning of Deterministic Finite Automata

1 
20140428 
238.25kB 
41  1+ 
0 

Multiclass Protein Classification Using Adaptive Codes

1 
20140428 
316.49kB 
36  1+ 
0 

Minimax Regret Classifier for Imprecise Class Distributions

1 
20140428 
329.71kB 
37  1+ 
0 

Transfer Learning via InterTask Mappings for Temporal Difference Learning

1 
20140428 
511.94kB 
38  1+ 
0 

Relational Dependency Networks

1 
20140428 
2.92MB 
33  1+ 
0 

Online PassiveAggressive Algorithms

1 
20140428 
372.77kB 
38  1+ 
0 

Sparse Boosting

1 
20140428 
242.10kB 
31  1+ 
0 

Consistency and Convergence Rates of OneClass SVMs and Related Algorithms

1 
20140428 
258.63kB 
36  1+ 
0 

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

1 
20140428 
325.20kB 
38  1+ 
0 

Covariate Shift Adaptation by Importance Weighted Cross Validation

1 
20140428 
273.84kB 
29  1+ 
0 

Fourier Theoretic Probabilistic Inference over Permutations

1 
20140428 
696.98kB 
26  1+ 
0 

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

1 
20140428 
429.29kB 
42  1+ 
0 

Particle Swarm Model Selection(Special Topic on Model Selection)

1 
20140428 
563.42kB 
40  1+ 
0 

Streamwise Feature Selection

1 
20140428 
163.86kB 
27  1+ 
0 

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

1 
20140428 
206.08kB 
31  1+ 
0 

Approximating the Permanent with Fractional Belief Propagation

1 
20140428 
4.16MB 
40  1+ 
0 

Learning the Structure of Linear Latent Variable Models

1 
20140428 
451.79kB 
41  1+ 
0 

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

1 
20140428 
1.20MB 
34  1+ 
0 

Using Machine Learning to Guide Architecture Simulation

1 
20140428 
809.37kB 
56  1+ 
0 

On the Complexity of Learning Lexicographic Strategies

1 
20140428 
203.25kB 
31  1+ 
0 

Combining PACBayesian and Generic Chaining Bounds

1 
20140428 
237.12kB 
36  1+ 
0 

Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems (Special Topic on Machine Learning and Optimization)

1 
20140428 
200.30kB 
139  1+ 
0 

Learning Factor Graphs in Polynomial Time and Sample Complexity

1 
20140428 
355.63kB 
39  1+ 
0 

PointBased Value Iteration for Continuous POMDPs

1 
20140428 
527.86kB 
30  1+ 
0 

A Graphical Representation of Equivalence Classes of AMP Chain Graphs

1 
20140428 
308.10kB 
38  1+ 
0 

Segmental Hidden Markov Models with Random Effects for Waveform Modeling

1 
20140428 
529.59kB 
39  1+ 
0 

NoisyOR Component Analysis and its Application to Link Analysis

1 
20140428 
529.55kB 
32  1+ 
0 

Online Learning of Multiple Tasks with a Shared Loss

1 
20140428 
259.62kB 
36  1+ 
0 

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

1 
20140428 
252.09kB 
31  1+ 
0 

Logistic StickBreaking Process

1 
20140428 
2.25MB 
38  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 
41  1+ 
0 

Proximal Methods for Hierarchical Sparse Coding

1 
20140428 
611.35kB 
31  1+ 
0 

A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin

1 
20140428 
244.70kB 
36  1+ 
0 

Concave Learners for Rankboost

1 
20140428 
170.76kB 
33  1+ 
0 

Unsupervised SimilarityBased Risk Stratification for Cardiovascular Events Using LongTerm TimeSeries Data

1 
20140428 
276.07kB 
36  1+ 
0 

In Search of NonGaussian Components of a HighDimensional Distribution

1 
20140428 
1.28MB 
51  1+ 
0 

Asymptotics in Empirical Risk Minimization

1 
20140428 
150.53kB 
35  1+ 
0 

NeymanPearson Classification, Convexity and Stochastic Constraints

1 
20140428 
187.16kB 
29  1+ 
0 

Generalized TD Learning

1 
20140428 
400.39kB 
36  1+ 
0 

WalkSums and Belief Propagation in Gaussian Graphical Models

1 
20140428 
345.37kB 
37  1+ 
0 

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

1 
20140428 
244.17kB 
51  1+ 
0 

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

1 
20140428 
322.12kB 
37  1+ 
0 

Inverse Reinforcement Learning in Partially Observable Environments

1 
20140428 
626.03kB 
46  1+ 
0 

Building Blocks for Variational Bayesian Learning of Latent Variable Models

1 
20140428 
426.83kB 
40  1+ 
0 

Hierarchical Average Reward Reinforcement Learning

1 
20140428 
332.69kB 
31  1+ 
0 

Large Margin Hierarchical Classification with Mutually Exclusive Class Membership

1 
20140428 
269.39kB 
30  1+ 
0 

Causal Graph Based Decomposition of Factored MDPs

1 
20140428 
305.91kB 
40  1+ 
0 

Training SVMs Without Offset

1 
20140428 
922.84kB 
33  1+ 
0 

Bounded KernelBased Online Learning

1 
20140428 
429.45kB 
43  1+ 
0 

Learning PartsBased Representations of Data

1 
20140428 
440.26kB 
38  1+ 
0 

SemiSupervised Learning with Measure Propagation

1 
20140428 
971.52kB 
34  1+ 
0 

Convex and Network Flow Optimization for Structured Sparsity

1 
20140428 
763.93kB 
42  1+ 
0 

Truncating the Loop Series Expansion for Belief Propagation

1 
20140428 
1.31MB 
33  1+ 
0 

A Hierarchy of Support Vector Machines for Pattern Detection

1 
20140428 
1.65MB 
39  1+ 
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Generalized BradleyTerry Models and MultiClass Probability Estimates

1 
20140428 
402.41kB 
31  1+ 
0 

Integrating Nave Bayes and FOIL

1 
20140428 
223.18kB 
33  1+ 
0 

Producing PowerLaw Distributions and Damping Word Frequencies with TwoStage Language Models

1 
20140428 
560.66kB 
39  1+ 
0 

Computationally Efficient Convolved Multiple Output Gaussian Processes

1 
20140428 
646.80kB 
35  1+ 
0 

Polynomial Identification in the Limit of Substitutable Contextfree Languages

1 
20140428 
150.26kB 
30  1+ 
0 

Locally Defined Principal Curves and Surfaces

1 
20140428 
2.87MB 
32  1+ 
0 

Laplacian Support Vector Machines Trained in the Primal

1 
20140428 
502.28kB 
41  1+ 
0 

Introduction to Special Issue on Machine Learning Approaches to Shallow Parsing

1 
20140428 
392.17kB 
47  1+ 
0 

KernelBased Learning of Hierarchical Multilabel Classification Models (Special Topic on Machine Learning and Optimization)

1 
20140428 
193.09kB 
38  1+ 
0 

Stability Properties of Empirical Risk Minimization over Donsker Classes

1 
20140428 
164.35kB 
35  1+ 
0 

Local Discriminant Wavelet Packet Coordinates for Face Recognition

1 
20140428 
371.96kB 
48  1+ 
0 

Learning Transformation Models for Ranking and Survival Analysis

1 
20140428 
806.05kB 
36  1+ 
0 

Structured Prediction, Dual Extragradient and Bregman Projections (Special Topic on Machine Learning and Optimization)

1 
20140428 
534.29kB 
43  1+ 
0 

Large Margin Semisupervised Learning

1 
20140428 
260.99kB 
27  1+ 
0 

Estimating HighDimensional Directed Acyclic Graphs with the PCAlgorithm

1 
20140428 
199.05kB 
33  1+ 
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Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets

1 
20140428 
427.93kB 
37  1+ 
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Learning from Partial Labels

1 
20140428 
1.91MB 
40  1+ 
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Efficient Structure Learning of Bayesian Networks using Constraints

1 
20140428 
215.95kB 
36  1+ 
0 

Generalization Bounds for the Area Under the ROC Curve

1 
20140428 
259.60kB 
36  1+ 
0 

Variational Inference in Nonconjugate Models

1 
20140428 
500.05kB 
27  1+ 
0 

Efficient Learning of Label Ranking by Soft Projections onto Polyhedra (Special Topic on Machine Learning and Optimization)

1 
20140428 
572.89kB 
29  1+ 
0 

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

1 
20140428 
157.28kB 
37  1+ 
0 

On the Representer Theorem and Equivalent Degrees of Freedom of SVR

1 
20140428 
463.09kB 
31  1+ 
0 

Multiple Kernel Learning Algorithms

1 
20140428 
395.81kB 
32  1+ 
0 

MultiTask Learning for Classification with Dirichlet Process Priors

1 
20140428 
250.97kB 
29  1+ 
0 

Efficient Learning with Partially Observed Attributes

1 
20140428 
187.32kB 
34  1+ 
0 

GraphBased Hierarchical Conceptual Clustering

1 
20140428 
207.11kB 
36  1+ 
0 

The LearningCurve Sampling Method Applied to ModelBased Clustering

1 
20140428 
193.58kB 
32  1+ 
0 

Collaborative Multiagent Reinforcement Learning by Payoff Propagation

1 
20140428 
521.27kB 
39  1+ 
0 

Adaptive Online Prediction by Following the Perturbed Leader

1 
20140428 
191.61kB 
34  1+ 
0 

Learning a Robust Relevance Model for Search Using Kernel Methods

1 
20140428 
256.74kB 
32  1+ 
0 

Learning Permutations with Exponential Weights

1 
20140428 
246.97kB 
30  1+ 
0 

Natural Language Processing (Almost) from Scratch

1 
20140428 
424.78kB 
219  1+ 
0 

Information, Divergence and Risk for Binary Experiments

1 
20140428 
1.51MB 
39  1+ 
0 

Inner Product Spaces for Bayesian Networks

1 
20140428 
164.61kB 
31  1+ 
0 

NonParametric Estimation of Topic Hierarchies from Texts with Hierarchical Dirichlet Processes

1 
20140428 
524.92kB 
31  1+ 
0 

Efficient Computation of Gapped Substring Kernels on Large Alphabets

1 
20140428 
254.61kB 
29  1+ 
0 

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

1 
20140428 
188.01kB 
31  1+ 
0 

Approximate Marginals in Latent Gaussian Models

1 
20140428 
3.57MB 
34  1+ 
0 

Matrix Exponentiated Gradient Updates for Online Learning and Bregman Projection

1 
20140428 
243.08kB 
32  1+ 
0 

Distance Dependent Chinese Restaurant Processes

1 
20140428 
1.96MB 
32  1+ 
0 

Ensemble Pruning Via Semidefinite Programming (Special Topic on Machine Learning and Optimization)

1 
20140428 
262.39kB 
33  1+ 
0 

Analysis of Variance of CrossValidation Estimators of the Generalization Error

1 
20140428 
294.94kB 
30  1+ 
0 

Parameter Screening and Optimisation for ILP using Designed Experiments

1 
20140428 
281.42kB 
33  1+ 
0 

Exploiting BestMatch Equations for Efficient Reinforcement Learning

1 
20140428 
495.83kB 
37  1+ 
0 

Learning Latent Tree Graphical Models

1 
20140428 
734.64kB 
33  1+ 
0 

Kernel Regression in the Presence of Correlated Errors

1 
20140428 
465.08kB 
41  1+ 
0 

Learning with Decision Lists of DataDependent Features

1 
20140428 
196.48kB 
30  1+ 
0 

Improved Moves for Truncated Convex Models

1 
20140428 
526.60kB 
30  1+ 
0 

Marginal Likelihood Integrals for Mixtures of Independence Models

1 
20140428 
177.75kB 
30  1+ 
0 

Online Learning with Samples Drawn from Nonidentical Distributions

1 
20140428 
210.13kB 
27  1+ 
0 

A Generalized Kernel Approach to Dissimilaritybased Classification (Kernel Machines Section)

1 
20140428 
451.30kB 
31  1+ 
0 

WorstCase Analysis of Selective Sampling for Linear Classification

1 
20140428 
184.34kB 
30  1+ 
0 

A Classification Framework for Anomaly Detection

1 
20140428 
181.54kB 
49  1+ 
0 

Information Rates of Nonparametric Gaussian Process Methods

1 
20140428 
198.20kB 
32  1+ 
0 

Stochastic Methods for l1regularized Loss Minimization

1 
20140428 
517.56kB 
33  1+ 
0 

Experiment Selection for Causal Discovery

1 
20140428 
1.27MB 
28  1+ 
0 

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

1 
20140428 
802.84kB 
90  1+ 
0 

On Model Selection Consistency of Lasso

1 
20140428 
172.94kB 
32  1+ 
0 

Differentially Private Empirical Risk Minimization

1 
20140428 
339.06kB 
30  1+ 
0 

Efficient Program Synthesis Using Constraint Satisfaction in Inductive Logic Programming

1 
20140428 
278.96kB 
36  1+ 
0 

Discriminative Learning Under Covariate Shift

1 
20140428 
165.70kB 
30  1+ 
0 

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

1 
20140428 
372.87kB 
46  1+ 
0 

In All Likelihood, Deep Belief Is Not Enough

1 
20140428 
447.32kB 
53  1+ 
0 

Infinite Limits For Tikhonov Regularization

1 
20140428 
223.74kB 
30  1+ 
0 

Learning a Mahalanobis Metric from Equivalence Constraints

1 
20140428 
868.95kB 
48  1+ 
0 

Text Chunking based on a Generalization of Winnow

1 
20140428 
199.64kB 
42  1+ 
0 

Support Vector Machine Active Learning with Applications to Text Classification

1 
20140428 
309.68kB 
106  1+ 
0 

On Using Extended Statistical Queries to Avoid Membership Queries

1 
20140428 
1.48MB 
30  1+ 
0 

Robust Approximate Bilinear Programming for Value Function Approximation

1 
20140428 
262.34kB 
34  1+ 
0 

Nonlinear Models Using Dirichlet Process Mixtures

1 
20140428 
231.28kB 
41  1+ 
0 

Introduction to the Special Topic on Grammar Induction, Representation of Language and Language Learning

1 
20140428 
25.98kB 
80  1+ 
0 

Learning Horn Expressions with LOGANH

1 
20140428 
814.71kB 
33  1+ 
0 

Posterior Sparsity in Unsupervised Dependency Parsing

1 
20140428 
383.82kB 
34  1+ 
0 

lpNorm Multiple Kernel Learning

1 
20140428 
434.40kB 
34  1+ 
0 

Step Size Adaptation in Reproducing Kernel Hilbert Space

1 
20140428 
450.31kB 
59  1+ 
0 

Anechoic Blind Source Separation Using Wigner Marginals

1 
20140428 
773.75kB 
47  1+ 
0 

Distance Metric Learning for Large Margin Nearest Neighbor Classification

1 
20140428 
1.98MB 
57  1+ 
0 

Sparse Linear Identifiable Multivariate Modeling

1 
20140428 
533.99kB 
44  1+ 
0 

Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization

1 
20140428 
711.51kB 
31  1+ 
0 

Double Updating Online Learning

1 
20140428 
302.62kB 
42  1+ 
0 

Learning Nondeterministic Classifiers

1 
20140428 
422.56kB 
41  1+ 
0 

Stagewise Lasso

1 
20140428 
611.53kB 
28  1+ 
0 

Parallel Algorithm for Learning Optimal Bayesian Network Structure

1 
20140428 
394.24kB 
41  1+ 
0 

Learning Multimodal Similarity

1 
20140428 
468.43kB 
35  1+ 
0 

Discriminative Learning of Bayesian Networks via Factorized Conditional LogLikelihood

1 
20140428 
447.14kB 
37  1+ 
0 

Learning Minimum Volume Sets

1 
20140428 
917.29kB 
33  1+ 
0 

Value Regularization and Fenchel Duality

1 
20140428 
299.19kB 
31  1+ 
0 

On the Learnability of Shuffle Ideals

1 
20140428 
181.53kB 
35  1+ 
0 

Large Scale Transductive SVMs

1 
20140428 
220.63kB 
31  1+ 
0 

Optimising Kernel Parameters and Regularisation Coefficients for Nonlinear Discriminant Analysis

1 
20140428 
487.93kB 
31  1+ 
0 

Structured Variable Selection with SparsityInducing Norms

1 
20140428 
446.85kB 
33  1+ 
0 

Learning a Hidden Hypergraph

1 
20140428 
178.94kB 
45  1+ 
0 

Learning with Structured Sparsity

1 
20140428 
518.70kB 
36  1+ 
0 

A Family of Simple NonParametric Kernel Learning Algorithms

1 
20140428 
620.86kB 
48  1+ 
0 

XArmed Bandits

1 
20140428 
835.49kB 
34  1+ 
0 

Dynamics and Generalization Ability of LVQ Algorithms

1 
20140428 
608.48kB 
36  1+ 
0 

Dirichlet Process Mixtures of Generalized Linear Models

1 
20140428 
2.93MB 
34  1+ 
0 

Learning Equivariant Functions with Matrix Valued Kernels

1 
20140428 
495.75kB 
37  1+ 
0 

Margin Trees for Highdimensional Classification

1 
20140428 
102.52kB 
34  1+ 
0 

Bayesian Quadratic Discriminant Analysis

1 
20140428 
196.90kB 
33  1+ 
0 

The Interplay of Optimization and Machine Learning Research (Special Topic on Machine Learning and Optimization)

1 
20140428 
118.18kB 
45  1+ 
0 

Bayesian Generalized Kernel Mixed Models

1 
20140428 
340.76kB 
38  1+ 
0 

Minimum Description Length Penalization for Group and MultiTask Sparse Learning

1 
20140428 
317.95kB 
36  1+ 
0 

Maximum Entropy Density Estimation with Generalized Regularization and an Application to Species Distribution Modeling

1 
20140428 
432.51kB 
33  1+ 
0 

Universality, Characteristic Kernels and RKHS Embedding of Measures

1 
20140428 
369.71kB 
31  1+ 
0 

An InteriorPoint Method for LargeScale l1Regularized Logistic Regression

1 
20140428 
910.98kB 
44  1+ 
0 

Refinable Kernels

1 
20140428 
261.78kB 
33  1+ 
0 

Linear Programs for Hypotheses Selection in Probabilistic Inference Models (Special Topic on Machine Learning and Optimization)

1 
20140428 
127.43kB 
36  1+ 
0 

A Linear NonGaussian Acyclic Model for Causal Discovery

1 
20140428 
417.28kB 
37  1+ 
0 

Group Lasso Estimation of Highdimensional Covariance Matrices

1 
20140428 
354.44kB 
30  1+ 
0 

A SimulationBased Algorithm for Ergodic Control of Markov Chains Conditioned on Rare Events

1 
20140428 
219.60kB 
42  1+ 
0 

Nonlinear Estimators and Tail Bounds for Dimension Reduction in l1 Using Cauchy Random Projections

1 
20140428 
337.83kB 
34  1+ 
0 

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

1 
20140428 
153.71kB 
37  1+ 
0 

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

1 
20140428 
132.70kB 
36  1+ 
0 

SuperLinear Convergence of Dual Augmented Lagrangian Algorithm for Sparsity Regularized Estimation

1 
20140428 
852.47kB 
42  1+ 
0 

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

1 
20140428 
266.31kB 
37  1+ 
0 

Efficient SVM Training Using LowRank Kernel Representations (Kernel Machines Section)

1 
20140428 
463.05kB 
32  1+ 
0 

HyperSparse Optimal Aggregation

1 
20140428 
900.66kB 
39  1+ 
0 

New Algorithms for Efficient HighDimensional Nonparametric Classification

1 
20140428 
183.68kB 
43  1+ 
0 

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

1 
20140428 
225.56kB 
30  1+ 
0 

Dimension Reduction in Text Classification with Support Vector Machines

1 
20140428 
107.39kB 
41  1+ 
0 

Evolutionary Function Approximation for Reinforcement Learning

1 
20140428 
1.55MB 
36  1+ 
0 

Active Learning with Feedback on Features and Instances

1 
20140428 
386.12kB 
43  1+ 
0 

Theoretical Analysis of Bayesian Matrix Factorization

1 
20140428 
581.48kB 
42  1+ 
0 

Large Scale Multiple Kernel Learning (Special Topic on Machine Learning and Optimization)

1 
20140428 
937.23kB 
42  1+ 
0 

Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation

1 
20140428 
1.45MB 
50  1+ 
0 

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

1 
20140428 
154.04kB 
42  1+ 
0 

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

1 
20140428 
81.05kB 
34  1+ 
0 

A Bayesian Approximation Method for Online Ranking

1 
20140428 
236.16kB 
48  1+ 
0 

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

1 
20140428 
259.55kB 
49  1+ 
0 

Robust Gaussian Process Regression with a Studentt Likelihood

1 
20140428 
759.22kB 
35  1+ 
0 

Shallow Parsing using Specialized HMMs

1 
20140428 
308.35kB 
36  1+ 
0 

Handling Missing Values when Applying Classification Models

1 
20140428 
389.65kB 
37  1+ 
0 

Forest Density Estimation

1 
20140428 
809.73kB 
45  1+ 
0 

New Horn Revision Algorithms

1 
20140428 
149.38kB 
34  1+ 
0 

Estimation of Gradients and Coordinate Covariation in Classification

1 
20140428 
317.44kB 
38  1+ 
0 

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

1 
20140428 
163.17kB 
32  1+ 
0 

Estimating Functions for Blind Separation When Sources Have Variance Dependencies

1 
20140428 
658.28kB 
45  1+ 
0 

Evolutionary Model Type Selection for Global Surrogate Modeling

1 
20140428 
1.28MB 
43  1+ 
0 

A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis

1 
20140428 
399.65kB 
74  1+ 
0 

A Robust Procedure For Gaussian Graphical Model Search From Microarray Data With p Larger Than n

1 
20140428 
685.16kB 
33  1+ 
0 

Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant Analysis

1 
20140428 
156.31kB 
42  1+ 
0 

Boosted Classification Trees and Class ProbabilityQuantile Estimation

1 
20140428 
989.97kB 
38  1+ 
0 

Hierarchical Knowledge Gradient for Sequential Sampling

1 
20140428 
594.38kB 
39  1+ 
0 

Subgroup Analysis via Recursive Partitioning

1 
20140428 
143.83kB 
28  1+ 
0 

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

1 
20140428 
577.25kB 
41  1+ 
0 

Union Support Recovery in Multitask Learning

1 
20140428 
212.21kB 
35  1+ 
0 

Some Theory for Generalized Boosting Algorithms

1 
20140428 
205.60kB 
35  1+ 
0 

Clustering on the Unit Hypersphere using von MisesFisher Distributions

1 
20140428 
295.34kB 
29  1+ 
0 

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

1 
20140428 
192.33kB 
38  1+ 
0 

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

1 
20140428 
2.91MB 
37  1+ 
0 

Stability and Generalization

1 
20140428 
210.94kB 
38  1+ 
0 

A Nonparametric Statistical Approach to Clustering via Mode Identification

1 
20140428 
665.62kB 
53  1+ 
0 

Text Classification using String Kernels

1 
20140428 
202.03kB 
46  1+ 
0 

CommunicationEfficient Algorithms for Statistical Optimization

1 
20140428 
381.05kB 
44  1+ 
0 

PolynomialDelay Enumeration of Monotonic Graph Classes

1 
20140428 
204.99kB 
35  1+ 
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Learning Coordinate Covariances via Gradients

1 
20140428 
385.96kB 
35  1+ 
0 

Operator Norm Convergence of Spectral Clustering on Level Sets

1 
20140428 
247.31kB 
33  1+ 
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Asymptotic Model Selection for Naive Bayesian Networks

1 
20140428 
1.08MB 
33  1+ 
0 

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

1 
20140428 
482.18kB 
68  1+ 
0 

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

1 
20140428 
1.13MB 
32  1+ 
0 

Learning the Kernel Function via Regularization

1 
20140428 
221.87kB 
37  1+ 
0 

Diffusion Kernels on Statistical Manifolds

1 
20140428 
1.34MB 
32  1+ 
0 

Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

1 
20140428 
307.88kB 
38  1+ 
0 

Optimized Cutting Plane Algorithm for LargeScale Risk Minimization

1 
20140428 
1.62MB 
32  1+ 
0 

Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space (Kernel Machines Section)

1 
20140428 
235.16kB 
35  1+ 
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Faster Algorithms for MaxProduct MessagePassing

1 
20140428 
1.12MB 
38  1+ 
0 

The Need for Open Source Software in Machine Learning

1 
20140428 
1.28MB 
58  1+ 
0 

Variable Sparsity Kernel Learning

1 
20140428 
236.15kB 
34  1+ 
0 

Marginbased Ranking and an Equivalence between AdaBoost and RankBoost

1 
20140428 
420.29kB 
40  1+ 
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Highdimensional Covariance Estimation Based On Gaussian Graphical Models

1 
20140428 
735.00kB 
37  1+ 
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The Sample Complexity of Dictionary Learning

1 
20140428 
185.59kB 
42  1+ 
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Models of Cooperative Teaching and Learning

1 
20140428 
278.16kB 
68  1+ 
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Maximum Margin Algorithms with Boolean Kernels

1 
20140428 
192.07kB 
39  1+ 
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Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss

1 
20140428 
122.78kB 
28  1+ 
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An Anticorrelation Kernel for Subsystem Training in Multiple Classifier Systems

1 
20140428 
560.99kB 
35  1+ 
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Linear StateSpace Models for Blind Source Separation

1 
20140428 
325.02kB 
36  1+ 
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Bilinear Discriminant Component Analysis

1 
20140428 
669.21kB 
45  1+ 
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Structure Spaces

1 
20140428 
669.80kB 
39  1+ 
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Learning Sparse Representations by NonNegative Matrix Factorization and Sequential Cone Programming (Special Topic on Machine Learning and Optimization)

1 
20140428 
254.49kB 
40  1+ 
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Universal Kernels

1 
20140428 
140.17kB 
31  1+ 
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Semigroup Kernels on Measures

1 
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379.05kB 
33  1+ 
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Considering Cost Asymmetry in Learning Classifiers

1 
20140428 
355.12kB 
29  1+ 
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Support Vector Clustering (Kernel Machines Section)

1 
20140428 
326.52kB 
40  1+ 
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Strong Limit Theorems for the Bayesian Scoring Criterion in Bayesian Networks

1 
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120.69kB 
37  1+ 
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AdaBoost is Consistent

1 
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184.12kB 
37  1+ 
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Clustering with Bregman Divergences

1 
20140428 
342.74kB 
29  1+ 
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Adaptive Exact Inference in Graphical Models

1 
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644.27kB 
34  1+ 
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Better Algorithms for Benign Bandits

1 
20140428 
186.30kB 
33  1+ 
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Machine Learning with Data Dependent Hypothesis Classes

1 
20140428 
145.27kB 
38  1+ 
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Learning Spectral Clustering, With Application To Speech Separation

1 
20140428 
660.25kB 
39  1+ 
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Incremental Algorithms for Hierarchical Classification

1 
20140428 
183.49kB 
36  1+ 
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WeisfeilerLehman Graph Kernels

1 
20140428 
299.28kB 
29  1+ 
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Machine Learning for Computer Security(Special Topic on Machine Learning for Computer Security)

1 
20140428 
59.94kB 
179  1+ 
1 

Provably Efficient Learning with Typed Parametric Models

1 
20140428 
2.49MB 
32  1+ 
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Nonparametric Quantile Estimation

1 
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904.72kB 
38  1+ 
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Fast Iterative Kernel Principal Component Analysis

1 
20140428 
3.19MB 
37  1+ 
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Two DistributedState Models For Generating HighDimensional Time Series

1 
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866.01kB 
39  1+ 
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Unlabeled Compression Schemes for Maximum Classes

1 
20140428 
457.23kB 
31  1+ 
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The Stationary Subspace Analysis Toolbox

1 
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70.42kB 
29  1+ 
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The Locally Weighted Bag of Words Framework for Document Representation

1 
20140428 
1.74MB 
41  1+ 
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Characterizing the Function Space for Bayesian Kernel Models

1 
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228.85kB 
37  1+ 
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On Equivalence Relationships Between Classification and Ranking Algorithms

1 
20140428 
376.99kB 
36  1+ 
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Recommender Systems Using Linear Classifiers

1 
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248.12kB 
90  1+ 
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Efficient and Effective Visual Codebook Generation Using Additive Kernels

1 
20140428 
165.80kB 
31  1+ 
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OneClass Novelty Detection for Seizure Analysis from Intracranial EEG

1 
20140428 
276.87kB 
39  1+ 
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Efficient Margin Maximizing with Boosting

1 
20140428 
605.34kB 
46  1+ 
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Superior Guarantees for Sequential Prediction and Lossless Compression via Alphabet Decomposition

1 
20140428 
271.67kB 
32  1+ 
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Entropy Inference and the JamesStein Estimator, with Application to Nonlinear Gene Association Networks

1 
20140428 
147.29kB 
35  1+ 
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Markov Properties for Linear Causal Models with Correlated Errors(Special Topic on Causality)

1 
20140428 
231.17kB 
32  1+ 
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Maximum Entropy Discrimination Markov Networks

1 
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593.20kB 
30  1+ 
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Concentration Bounds for Unigram Language Models

1 
20140428 
219.42kB 
32  1+ 
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Exact Simplification of Support Vector Solutions (Kernel Machines Section)

1 
20140428 
332.06kB 
32  1+ 
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A NearOptimal Algorithm for DifferentiallyPrivate Principal Components

1 
20140428 
424.73kB 
37  1+ 
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Statistical Consistency of Kernel Canonical Correlation Analysis

1 
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367.80kB 
33  1+ 
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Kernel Analysis of Deep Networks

1 
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762.62kB 
83  1+ 
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Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation

1 
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140.34kB 
32  1+ 
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A Stochastic Algorithm for Feature Selection in Pattern Recognition

1 
20140428 
438.67kB 
51  1+ 
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On the Consistency of Multiclass Classification Methods (Special Topic on the Conference on Learning Theory 2005)

1 
20140428 
174.76kB 
32  1+ 
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Learning to Select Features using their Properties

1 
20140428 
137.76kB 
41  1+ 
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A Multiple Instance Learning Strategy for Combating Good Word Attacks on Spam Filters

1 
20140428 
281.48kB 
31  1+ 
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Model Selection in Kernel Based Regression using the Influence Function(Special Topic on Model Selection)

1 
20140428 
264.41kB 
38  1+ 
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Minimal Nonlinear Distortion Principle for Nonlinear Independent Component Analysis

1 
20140428 
2.91MB 
40  1+ 
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Complete Identification Methods for the Causal Hierarchy(Special Topic on Causality)

1 
20140428 
495.05kB 
38  1+ 
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Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers

1 
20140428 
449.20kB 
37  1+ 
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Gradient Tree Boosting for Training Conditional Random Fields

1 
20140428 
2.50MB 
42  1+ 
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Exponentiated Gradient Algorithms for Conditional Random Fields and MaxMargin Markov Networks

1 
20140428 
252.23kB 
32  1+ 
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Active Learning by Spherical Subdivision

1 
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560.53kB 
35  1+ 
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Nearly Uniform Validation Improves CompressionBased Error Bounds

1 
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194.19kB 
31  1+ 
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Discriminative Learning of MaxSum Classifiers

1 
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1.53MB 
32  1+ 
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Multiclass Discriminant Kernel Learning via Convex Programming(Special Topic on Model Selection)

1 
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269.35kB 
38  1+ 
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Automatic PCA Dimension Selection for High Dimensional Data and Small Sample Sizes

1 
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3.72MB 
36  1+ 
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Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction

1 
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441.50kB 
44  1+ 
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Ranking Categorical Features Using Generalization Properties

1 
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449.95kB 
34  1+ 
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Visualizing Data using tSNE

1 
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254.27kB 
29  1+ 
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NonParametric Modeling of Partially Ranked Data

1 
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390.11kB 
31  1+ 
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Learning Similarity with Operatorvalued Largemargin Classifiers

1 
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197.46kB 
28  1+ 
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Trust Region Newton Method for Logistic Regression

1 
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48.85kB 
34  1+ 
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LinearTime Computation of Similarity Measures for Sequential Data

1 
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533.68kB 
35  1+ 
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On Relevant Dimensions in Kernel Feature Spaces

1 
20140428 
102.56kB 
26  1+ 
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Learning Control Knowledge for Forward Search Planning

1 
20140428 
203.05kB 
31  1+ 
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On the Size and Recovery of Submatrices of Ones in a Random Binary Matrix

1 
20140428 
856.27kB 
31  1+ 
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On the Suitable Domain for SVM Training in Image Coding

1 
20140428 
521.36kB 
43  1+ 
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SimpleMKL

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843.95kB 
35  1+ 
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FiniteTime Bounds for Fitted Value Iteration

1 
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54.73kB 
32  1+ 
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Learning from Multiple Sources

1 
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510.00kB 
35  1+ 
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Randomized Online PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension

1 
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306.69kB 
52  1+ 
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Finding Optimal Bayesian Network Given a SuperStructure

1 
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356.67kB 
37  1+ 
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A Moment Bound for Multihinge Classifiers

1 
20140428 
4.12MB 
36  1+ 
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Learning Balls of Strings from Edit Corrections

1 
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648.89kB 
38  1+ 
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Value Function Based Reinforcement Learning in Changing Markovian Environments

1 
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382.70kB 
34  1+ 
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An Error Bound Based on a Worst Likely Assignment

1 
20140428 
163.13kB 
29  1+ 
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Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data

1 
20140428 
284.29kB 
35  1+ 
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Probabilistic Characterization of Random Decision Trees

1 
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231.52kB 
38  1+ 
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Learning to Combine Motor Primitives Via Greedy Additive Regression

1 
20140428 
1.88MB 
34  1+ 
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An Information Criterion for Variable Selection in Support Vector Machines(Special Topic on Model Selection)

1 
20140428 
764.43kB 
40  1+ 
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Support Vector Machinery for Infinite Ensemble Learning

1 
20140428 
153.85kB 
35  1+ 
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Online Learning of Complex Prediction Problems Using Simultaneous Projections

1 
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490.02kB 
48  1+ 
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Closed Sets for Labeled Data

1 
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546.17kB 
32  1+ 
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Value Function Approximation using Multiple Aggregation for Multiattribute Resource Management

1 
20140428 
1.34MB 
42  1+ 
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MultipleInstance Learning of RealValued Data

1 
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7.10kB 
33  1+ 
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Aggregation of SVM Classifiers Using Sobolev Spaces

1 
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197.61kB 
38  1+ 
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Minimal Kernel Classifiers (Kernel Machines Section)

1 
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408.15kB 
55  1+ 
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Mixed Membership Stochastic Blockmodels

1 
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140.43kB 
40  1+ 
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Datadependent marginbased generalization bounds for classification

1 
20140428 
298.60kB 
42  1+ 
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Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming

1 
20140428 
275.99kB 
42  1+ 
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Causal Reasoning with Ancestral Graphs(Special Topic on Causality)

1 
20140428 
728.93kB 
40  1+ 
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Robust Submodular Observation Selection

1 
20140428 
25.34MB 
55  1+ 
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Magic Moments for Structured Output Prediction

1 
20140428 
264.13kB 
39  1+ 
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Search for Additive Nonlinear Time Series Causal Models

1 
20140428 
784.42kB 
43  1+ 
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Learning Precise Timing with LSTM Recurrent Networks

1 
20140428 
341.85kB 
58  1+ 
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A Divisive InformationTheoretic Feature Clustering Algorithm for Text Classification (Kernel Machines Section)

1 
20140428 
301.96kB 
36  1+ 
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Learning to Construct Fast Signal Processing Implementations

1 
20140428 
283.99kB 
40  1+ 
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Use of the ZeroNorm with Linear Models and Kernel Methods (Kernel Machines Section)

1 
20140428 
230.27kB 
42  1+ 
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Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning

1 
20140428 
2.18MB 
38  1+ 
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Distributional Word Clusters vs. Words for Text Categorization (Kernel Machines Section)

1 
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140.10kB 
42  1+ 
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Online Submodular Minimization

1 
20140428 
140.14kB 
34  1+ 
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A Tutorial on Conformal Prediction

1 
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75.34kB 
46  1+ 
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Stationary Features and Cat Detection

1 
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286.03kB 
38  1+ 
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Graphical Models for Structured Classification, with an Application to Interpreting Images of Protein Subcellular Location Patterns

1 
20140428 
162.58kB 
42  1+ 
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Learning Probabilistic Models of Link Structure

1 
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1.99MB 
50  1+ 
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The Set Covering Machine

1 
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599.85kB 
40  1+ 
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Optimization Techniques for SemiSupervised Support Vector Machines

1 
20140428 
48.17kB 
40  1+ 
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On Boosting with Polynomially Bounded Distributions

1 
20140428 
285.32kB 
33  1+ 
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Efficient Algorithms for Decision Tree Crossvalidation

1 
20140428 
1.01MB 
53  1+ 
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Learning Symbolic Representations of Hybrid Dynamical Systems

1 
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1.99MB 
49  1+ 
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Rejoinder to Reponses to Evidence Contrary to the Statistical View of Boosting

1 
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362.15kB 
33  1+ 
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Positive Semidefinite Metric Learning Using Boostinglike Algorithms

1 
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520.97kB 
37  1+ 
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Kernel Methods for Relation Extraction

1 
20140428 
1.70MB 
47  1+ 
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Structured Sparsity and Generalization

1 
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146.96kB 
36  1+ 
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Learning Monotone DNF from a Teacher that Almost Does Not Answer Membership Queries

1 
20140428 
151.73kB 
40  1+ 
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Efficient Methods for Robust Classification Under Uncertainty in Kernel Matrices

1 
20140428 
395.10kB 
39  1+ 
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Nonparametric Guidance of Autoencoder Representations using Label Information

1 
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816.49kB 
38  1+ 
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Cluster Ensembles  A Knowledge Reuse Framework for Combining Multiple Partitions

1 
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29.62kB 
40  1+ 
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Optimistic Bayesian Sampling in ContextualBandit Problems

1 
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9.99MB 
61  1+ 
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NIMFA : A Python Library for Nonnegative Matrix Factorization

1 
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35.81kB 
87  1+ 
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FiniteSample Analysis of LeastSquares Policy Iteration

1 
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290.03kB 
37  1+ 
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Ranking Individuals by Group Comparisons

1 
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158.95kB 
39  1+ 
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EPGIG Priors and Applications in Bayesian Sparse Learning

1 
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1.23MB 
38  1+ 
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Structured Sparsity via Alternating Direction Methods

1 
20140428 
629.89kB 
49  1+ 
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An Introduction to Variable and Feature Selection (Kernel Machines Section)

1 
20140428 
763.45kB 
49  1+ 
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MultiTarget Regression with Rule Ensembles

1 
20140428 
328.30kB 
36  1+ 
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Static Prediction Games for Adversarial Learning Problems

1 
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619.68kB 
44  1+ 
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The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces (Kernel Machines Section)

1 
20140428 
675.84kB 
47  1+ 
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A New Algorithm for Estimating the Effective DimensionReduction Subspace

1 
20140428 
292.05kB 
42  1+ 
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MultiInstance Learning with Any Hypothesis Class

1 
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328.57kB 
42  1+ 
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Randomized Variable Elimination

1 
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386.37kB 
39  1+ 
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The Sample Complexity of Exploration in the MultiArmed Bandit Problem (Special Topic on Learning Theory)

1 
20140428 
174.52kB 
44  1+ 
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BottomUp Relational Learning of Pattern Matching Rules for Information Extraction

1 
20140428 
184.33kB 
50  1+ 
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Linear Regression With Random Projections

1 
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586.31kB 
52  1+ 
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Feature Selection for Unsupervised Learning

1 
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317.56kB 
37  1+ 
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Learning the Kernel Matrix with Semidefinite Programming

1 
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386.57kB 
54  1+ 
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In Defense of OneVsAll Classification

1 
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73.11kB 
33  1+ 
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MLPs (MonoLayer Polynomials and MultiLayer Perceptrons) for Nonlinear Modeling

1 
20140428 
183.69kB 
40  1+ 
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Fast String Kernels using Inexact Matching for Protein Sequences

1 
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142.59kB 
47  1+ 
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Feature Discovery in NonMetric Pairwise Data

1 
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255.36kB 
34  1+ 
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An Approximate Analytical Approach to Resampling Averages (Kernel Machines Section)

1 
20140428 
3.16MB 
41  1+ 
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On the Convergence Rate of lpNorm Multiple Kernel Learning

1 
20140428 
417.13kB 
44  1+ 
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A Unified Framework for Modelbased Clustering

1 
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338.53kB 
34  1+ 
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Robust Principal Component Analysis with Adaptive Selection for Tuning Parameters

1 
20140428 
3.30MB 
35  1+ 
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Benefitting from the Variables that Variable Selection Discards

1 
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176.22kB 
31  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 
37  1+ 
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On InclusionDriven Learning of Bayesian Networks

1 
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245.65kB 
29  1+ 
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The Minimum Error Minimax Probability Machine

1 
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196.39kB 
37  1+ 
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An Efficient Boosting Algorithm for Combining Preferences

1 
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208.76kB 
33  1+ 
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Sources of Success for Boosted Wrapper Induction

1 
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166.05kB 
34  1+ 
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PAClearnability of Probabilistic Deterministic Finite State Automata

1 
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238.05kB 
40  1+ 
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Multitask Regression using Minimal Penalties

1 
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293.14kB 
36  1+ 
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On the Proper Learning of AxisParallel Concepts

1 
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190.23kB 
33  1+ 
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Distance Metric Learning with Eigenvalue Optimization

1 
20140428 
238.08kB 
36  1+ 
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Kernel Independent Component Analysis (Kernel Machines Section)

1 
20140428 
481.88kB 
36  1+ 
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Consistency of Trace Norm Minimization

1 
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168.85kB 
38  1+ 
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A MultiStage Framework for Dantzig Selector and LASSO

1 
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246.48kB 
33  1+ 
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Stochastic Composite Likelihood

1 
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749.14kB 
33  1+ 
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Weather Data Mining Using Independent Component Analysis

1 
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168.93kB 
68  1+ 
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Large Scale Online Learning of Image Similarity Through Ranking

1 
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1.17MB 
32  1+ 
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Incremental Sigmoid Belief Networks for Grammar Learning

1 
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252.38kB 
41  1+ 
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Active Learning of Causal Networks with Intervention Experiments and Optimal Designs(Special Topic on Causality)

1 
20140428 
233.01kB 
37  1+ 
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Matrix Completion from Noisy Entries

1 
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199.96kB 
54  1+ 
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A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design

1 
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323.66kB 
35  1+ 
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DistanceBased Classification with Lipschitz Functions (Special Topic on Learning Theory)

1 
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153.01kB 
34  1+ 
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Combining Knowledge from Different Sources in Causal Probabilistic Models

1 
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152.73kB 
40  1+ 
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Quadratic Programming Feature Selection

1 
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358.44kB 
73  1+ 
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Efficient Feature Selection via Analysis of Relevance and Redundancy

1 
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221.16kB 
39  1+ 
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Robust Kernel Density Estimation

1 
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457.80kB 
36  1+ 
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Efficient Algorithms for Conditional Independence Inference

1 
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218.06kB 
38  1+ 
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Generalized Power Method for Sparse Principal Component Analysis

1 
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303.39kB 
48  1+ 
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Classification with Incomplete Data Using Dirichlet Process Priors

1 
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1.18MB 
33  1+ 
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Spectral Regularization Algorithms for Learning Large Incomplete Matrices

1 
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569.20kB 
34  1+ 
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Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models

1 
20140428 
319.91kB 
35  1+ 
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Classification with a Reject Option using a Hinge Loss

1 
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299.31kB 
41  1+ 
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Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components

1 
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337.60kB 
42  1+ 
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ICA Using Spacings Estimates of Entropy

1 
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534.27kB 
39  1+ 
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A Fast Hybrid Algorithm for LargeScale l1Regularized Logistic Regression

1 
20140428 
2.71MB 
44  1+ 
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Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces

1 
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340.16kB 
39  1+ 
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Matching Words and Pictures

1 
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241.45kB 
40  1+ 
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Introduction to the Special Issue on Learning Theory

1 
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411.96kB 
57  1+ 
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An Empirical Study of the Use of Relevance Information in Inductive Logic Programming

1 
20140428 
97.69kB 
35  1+ 
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Bounding the Probability of Error for High Precision Optical Character Recognition

1 
20140428 
698.79kB 
51  1+ 
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Online Learning for Matrix Factorization and Sparse Coding

1 
20140428 
4.17MB 
42  1+ 
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Learning Linear Cyclic Causal Models with Latent Variables

1 
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516.05kB 
38  1+ 
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Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure

1 
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295.45kB 
45  1+ 
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Blind Source Separation via Generalized Eigenvalue Decomposition

1 
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546.79kB 
40  1+ 
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Learning Translation Invariant Kernels for Classification

1 
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398.68kB 
43  1+ 
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Hilbert Space Embeddings and Metrics on Probability Measures

1 
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530.50kB 
39  1+ 
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TreeStructured Neural Decoding

1 
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254.19kB 
38  1+ 
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Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling

1 
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186.16kB 
52  1+ 
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Bayesian Learning in Sparse Graphical Factor Models via Variational MeanField Annealing

1 
20140428 
3.36MB 
44  1+ 
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Practical Approaches to Principal Component Analysis in the Presence of Missing Values

1 
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616.99kB 
42  1+ 
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SecondOrder Bilinear Discriminant Analysis

1 
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1.12MB 
31  1+ 
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Towards Integrative Causal Analysis of Heterogeneous Data Sets and Studies

1 
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4.05MB 
36  1+ 
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Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models

1 
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246.47kB 
30  1+ 
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An Investigation of Missing Data Methods for Classification Trees Applied to Binary Response Data

1 
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408.00kB 
43  1+ 
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Consistency of Random Forests and Other Averaging Classifiers

1 
20140428 
235.86kB 
41  1+ 
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NoiseContrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics

1 
20140428 
2.44MB 
37  1+ 
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Dynamic Policy Programming

1 
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360.04kB 
45  1+ 
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WEKAExperiences with a Java OpenSource Project

1 
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216.11kB 
114  1+ 
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How to Explain Individual Classification Decisions

1 
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1.64MB 
30  1+ 
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Training and Testing Lowdegree Polynomial Data Mappings via Linear SVM

1 
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150.51kB 
39  1+ 
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Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation

1 
20140428 
339.80kB 
47  1+ 
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Maximum Relative Margin and DataDependent Regularization

1 
20140428 
466.22kB 
30  1+ 
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Tree Decomposition for LargeScale SVM Problems

1 
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403.78kB 
42  1+ 
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Mean Field Variational Approximation for ContinuousTime Bayesian Networks

1 
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1.12MB 
34  1+ 
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Learning over Sets using Kernel Principal Angles (Kernel Machines Section)

1 
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144.51kB 
32  1+ 
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Image Categorization by Learning and Reasoning with Regions

1 
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149.86kB 
39  1+ 
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Policy Search using Paired Comparisons

1 
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178.54kB 
36  1+ 
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Optimal Distributed Online Prediction Using MiniBatches

1 
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334.87kB 
43  1+ 
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Integrating a Partial Model into Model Free Reinforcement Learning

1 
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328.43kB 
37  1+ 
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A Streaming Parallel Decision Tree Algorithm

1 
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512.65kB 
56  1+ 
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The Entire Regularization Path for the Support Vector Machine

1 
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184.62kB 
37  1+ 
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Forecasting Web Page Views: Methods and Observations

1 
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2.50MB 
47  1+ 
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Approximate Riemannian Conjugate Gradient Learning for FixedForm Variational Bayes

1 
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553.64kB 
43  1+ 
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Multi Kernel Learning with OnlineBatch Optimization

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ErrorCorrecting Output Codes Library

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Nearoptimal Regret Bounds for Reinforcement Learning

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Optimal Solutions for Sparse Principal Component Analysis

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Generalization Error Bounds for Bayesian Mixture Algorithms

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Relational Learning as Search in a Critical Region

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The SHOGUN Machine Learning Toolbox

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Regularization Techniques for Learning with Matrices

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

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Greedy Algorithms for Classification  Consistency, Convergence Rates, and Adaptivity

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Gaussian Processes for Machine Learning (GPML) Toolbox

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Discriminative Hierarchical Partbased Models for Human Parsing and Action Recognition

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Permutation Tests for Studying Classifier Performance

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On the Foundations of Noisefree Selective Classification

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PyBrain

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On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition

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Speedup Learning for Repairbased Search by Identifying Redundant Steps

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The em Algorithm for Kernel Matrix Completion with Auxiliary Data

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

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Classification Methods with Reject Option Based on Convex Risk Minimization

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Some Properties of Regularized Kernel Methods

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An Exponential Model for Infinite Rankings

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Evolving Static Representations for Task Transfer

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Tracking a Small Set of Experts by Mixing Past Posteriors

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Dependency Networks for Inference, Collaborative Filtering, and Data Visualization

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Introduction to the Special Issue on Inductive Logic Programming

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Query Transformations for Improving the Efficiency of ILP Systems

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337.20kB 
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Efficient Algorithms for Universal Portfolios

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358.86kB 
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A Maximum Likelihood Approach to Singlechannel Source Separation

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ICA for Watermarking Digital Images

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A Generative Model for Separating Illumination and Reflectance from Images

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511.41kB 
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Active Clustering of Biological Sequences

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332.47kB 
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Learning Rates for Qlearning

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A Rotation Test to Verify Latent Structure

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Subgroup Discovery with CN2SD

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133.49kB 
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Estimation and Selection via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications

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264.28kB 
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ConsensusBased Distributed Support Vector Machines

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NonSparse Multiple Kernel Fisher Discriminant Analysis

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555.62kB 
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The huge Package for Highdimensional Undirected Graph Estimation in R

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339.26kB 
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MLFlex: A Flexible Toolbox for Performing Classification Analyses In Parallel

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37.01kB 
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Dimensionality Reduction via Sparse Support Vector Machines (Kernel Machines Section)

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

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11.70kB 
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Learning From Crowds

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

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Query Strategies for Evading ConvexInducing Classifiers

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Sign Language Recognition using SubUnits

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Why Does Unsupervised Pretraining Help Deep Learning?

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Stability of DensityBased Clustering

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Regularized Principal Manifolds (Kernel Machines Section)

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Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization

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2.91MB 
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Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers

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FastInf: An Efficient Approximate Inference Library

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32.60kB 
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Learning InstanceSpecific Predictive Models

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474.95kB 
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Probability Product Kernels (Special Topic on Learning Theory)

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Fast Approximation of Matrix Coherence and Statistical Leverage

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285.26kB 
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Introduction to the Special Issue on Machine Learning Methods for Text and Images

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346.30kB 
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Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains

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256.29kB 
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A Geometric Approach to MultiCriterion Reinforcement Learning

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309.35kB 
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Restricted Eigenvalue Properties for Correlated Gaussian Designs

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Algorithmic Luckiness

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Learning with Mixtures of Trees

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A Comparison of the Lasso and Marginal Regression

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Algebraic Geometric Comparison of Probability Distributions

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534.83kB 
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On Spectral Learning

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SemiSupervised Novelty Detection

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Metric and Kernel Learning Using a Linear Transformation

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Consistent Model Selection Criteria on High Dimensions

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Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning

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Sampling Methods for the Nystrm Method

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Computable Shell Decomposition Bounds

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Learning NonStationary Dynamic Bayesian Networks

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Posterior Regularization for Structured Latent Variable Models

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Learning Algorithms for the Classification Restricted Boltzmann Machine

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Coherence Functions with Applications in LargeMargin Classification Methods

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Bundle Methods for Regularized Risk Minimization

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

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Selective Rademacher Penalization and Reduced Error Pruning of Decision Trees

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Selective Sampling and Active Learning from Single and Multiple Teachers

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Learning Bounded Treewidth Bayesian Networks

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Evidence Contrary to the Statistical View of Boosting

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Approximate Tree Kernels

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Estimation of a Structural Vector Autoregression Model Using NonGaussianity

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Bayesian MixedEffects Inference on Classification Performance in Hierarchical Data Sets

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Online Learning in the Embedded Manifold of Lowrank Matrices

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Active Learning via Perfect Selective Classification

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On Online Learning of Decision Lists

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Variable Selection in Highdimensional Varyingcoefficient Models with Global Optimality

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Expectation Truncation and the Benefits of Preselection In Training Generative Models

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

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Prior Knowledge and Preferential Structures in Gradient Descent Learning Algorithms

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Using Contextual Representations to Efficiently Learn ContextFree Languages

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Sparse Semisupervised Learning Using Conjugate Functions

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331.42kB 
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Task Clustering and Gating for Bayesian Multitask Learning

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285.47kB 
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A Fast Algorithm for Joint Diagonalization with Nonorthogonal Transformations and its Application to Blind Source Separation

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2.34MB 
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A Recursive Method for Structural Learning of Directed Acyclic Graphs

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Refinement of Operatorvalued Reproducing Kernels

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458.86kB 
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Largescale Linear Support Vector Regression

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A Topic Modeling Toolbox Using Belief Propagation

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A Generalized Path Integral Control Approach to Reinforcement Learning

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1.09MB 
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WordSequence Kernels

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Characterization, Stability and Convergence of Hierarchical Clustering Methods

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Bouligand Derivatives and Robustness of Support Vector Machines for Regression

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531.56kB 
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Bayes Point Machines (Kernel Machines Section)

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Graph Kernels

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Mixability is Bayes Risk Curvature Relative to Log Loss

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Consistent Nonparametric Tests of Independence

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Probability Estimates for Multiclass Classification by Pairwise Coupling

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Linear FittedQ Iteration with Multiple Reward Functions

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Exact Covariance Thresholding into Connected Components for LargeScale Graphical Lasso

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911.77kB 
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On NearestNeighbor ErrorCorrecting Output Codes with Application to AllPairs Multiclass Support Vector Machines

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161.92kB 
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Topology Selection in Graphical Models of Autoregressive Processes

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

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208.64kB 
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Regularized Bundle Methods for Convex and NonConvex Risks

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576.41kB 
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Path Kernels and Multiplicative Updates

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Maxmargin Classification of Data with Absent Features

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Fast and Scalable Local Kernel Machines

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Exact Bayesian Structure Discovery in Bayesian Networks

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173.90kB 
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Iterative Reweighted Algorithms for Matrix Rank Minimization

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335.72kB 
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Classification Using Geometric Level Sets

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Stability Bounds for Stationary mixing and mixing Processes

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Sparse Spectrum Gaussian Process Regression

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178.39kB 
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Blind Separation of Postnonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation

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918.89kB 
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LeastSquares Policy Iteration

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312.97kB 
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Random Search for HyperParameter Optimization

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728.27kB 
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A Family of Additive Online Algorithms for Category Ranking

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418.00kB 
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Smoothing Multivariate Performance Measures

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858.61kB 
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Concentration Inequalities for the Missing Mass and for Histogram Rule Error

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323.71kB 
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On the Importance of Small Coordinate Projections

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215.55kB 
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A Multiscale Framework For Blind Separation of Linearly Mixed Signals

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3.36MB 
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On the Rate of Convergence of the Bagged Nearest Neighbor Estimate

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193.66kB 
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The Principled Design of LargeScale Recursive Neural Network ArchitecturesDAGRNNs and the Protein Structure Prediction Problem

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926.73kB 
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Reinforcement Learning with Factored States and Actions

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Regret Bounds and Minimax Policies under Partial Monitoring

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386.70kB 
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Generalization from Observed to Unobserved Features by Clustering

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133.38kB 
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A QuasiNewton Approach to Nonsmooth Convex Optimization Problems in Machine Learning

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1.32MB 
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Algorithms for Learning Kernels Based on Centered Alignment

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266.60kB 
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Eliminating Spammers and Ranking Annotators for Crowdsourced Labeling Tasks

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449.19kB 
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Generalized Expectation Criteria for SemiSupervised Learning with Weakly Labeled Data

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682.23kB 
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Preference Elicitation via Theory Refinement

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164.76kB 
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The Representational Power of Discrete Bayesian Networks

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457.49kB 
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PACBayes Bounds with Data Dependent Priors

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325.02kB 
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Limitations of Learning Via Embeddings in Euclidean Half Spaces

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283.79kB 
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A Convergent Online Single Time Scale Actor Critic Algorithm

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325.61kB 
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Boosting as a Regularized Path to a Maximum Margin Classifier

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Sufficient Dimensionality Reduction (Kernel Machines Section)

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195.34kB 
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Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting

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662.38kB 
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PACBayesian Analysis of Coclustering and Beyond

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Hit Miss Networks with Applications to Instance Selection

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LpNested Symmetric Distributions

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ILP: A Short Look Back and a Longer Look Forward

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Inducing TreeSubstitution Grammars

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Linear Algorithms for Online Multitask Classification

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402.57kB 
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Composite Binary Losses

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OnLine Sequential Bin Packing

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166.10kB 
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Quantum Set Intersection and its Application to Associative Memory

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404.25kB 
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Modelbased Boosting 2.0

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Covariance in Unsupervised Learning of Probabilistic Grammars

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On the Rate of Convergence of Regularized Boosting Classifiers

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198.89kB 
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Ultraconservative Online Algorithms for Multiclass Problems

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6.70MB 
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Nash QLearning for GeneralSum Stochastic Games

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RMAX  A General Polynomial Time Algorithm for NearOptimal Reinforcement Learning

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101.23kB 
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Collective Inference for Extraction MRFs Coupled with Symmetric Clique Potentials

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Exploration in Relational Domains for Modelbased Reinforcement Learning

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Online Choice of Active Learning Algorithms

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518.47kB 
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Algorithms for Sparse Linear Classifiers in the Massive Data Setting

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A Robust Minimax Approach to Classification

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523.76kB 
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No Unbiased Estimator of the Variance of KFold CrossValidation

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214.69kB 
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KnowledgeBased Kernel Approximation

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Regularized Discriminant Analysis, Ridge Regression and Beyond

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332.20kB 
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Comments on the Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion

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Pairwise Support Vector Machines and their Application to Large Scale Problems

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Lyapunov Design for Safe Reinforcement Learning

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Approximations for Binary Gaussian Process Classification

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Minimax Manifold Estimation

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Lagrangian Support Vector Machines (Kernel Machines Section)

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280.39kB 
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Extensions to MetricBased Model Selection

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On the Necessity of Irrelevant Variables

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On the Equivalence of Linear DimensionalityReducing Transformations

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MultiAssignment Clustering for Boolean Data

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Model Averaging for Prediction with Discrete Bayesian Networks

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Statistical Dynamics of Online Independent Component Analysis

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Latent Dirichlet Allocation

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

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A Compression Approach to Support Vector Model Selection

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

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Continuous Time Bayesian Network Reasoning and Learning Engine

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34.13kB 
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Finding Recurrent Patterns from Continuous Sign Language Sentences for Automated Extraction of Signs

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982.84kB 
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Introduction to Special Issue on Independent Components Analysis

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259.60kB 
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Local and Global Scaling Reduce Hubs in Space

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388.42kB 
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On Overfitting in Model Selection and Subsequent Selection Bias in Performance Evaluation

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Entropy Search for InformationEfficient Global Optimization

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Learnability, Stability and Uniform Convergence

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331.23kB 
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Using Markov Blankets for Causal Structure Learning(Special Topic on Causality)

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Facilitating Score and Causal Inference Trees for Large Observational Studies

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355.27kB 
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Designing Committees of Models through Deliberate Weighting of Data Points

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PREA: Personalized Recommendation Algorithms Toolkit

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290.79kB 
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Feature Selection via Dependence Maximization

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1.55MB 
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Lossless Online Bayesian Bagging

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383.90kB 
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Learning Probabilistic Models: An Expected Utility Maximization Approach

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271.70kB 
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A C++ TemplateBased Reinforcement Learning Library: Fitting the Code to the Mathematics

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70.37kB 
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Derivative Estimation with Local Polynomial Fitting

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590.78kB 
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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 
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Efficient Active Learning of Halfspaces: An Aggressive Approach

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2.89MB 
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GURLS: A Least Squares Library for Supervised Learning

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Kernel Bayes' Rule: Bayesian Inference with Positive Definite Kernels

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Divvy: Fast and Intuitive Exploratory Data Analysis

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CODA: High Dimensional Copula Discriminant Analysis

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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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The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs

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BudgetedSVM: A Toolbox for Scalable SVM Approximations

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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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Optimal Discovery with Probabilistic Expert Advice: Finite Time Analysis and Macroscopic Optimality

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327.20kB 
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QuasiNewton Method: A New Direction

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297.81kB 
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CarpeDiem: Optimizing the Viterbi Algorithm and Applications to Supervised Sequential Learning

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Keep It Simple And Sparse: RealTime Action Recognition

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Reinforcement Learning in Finite MDPs: PAC Analysis

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Similaritybased Classification: Concepts and Algorithms

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The Hidden Life of Latent Variables: Bayesian Learning with Mixed Graph Models

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Perturbation Corrections in Approximate Inference: Mixture Modelling Applications

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Tapkee: An Efficient Dimension Reduction Library

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29  
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Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising

1 
20140428 
1.39MB 
47  
0 

Settable Systems: An Extension of Pearl's Causal Model with Optimization, Equilibrium, and Learning

1 
20140428 
377.57kB 
33  
0 

SGDQN: Careful QuasiNewton Stochastic Gradient Descent

1 
20140428 
151.45kB 
28  
0 

Ultrahigh Dimensional Feature Selection: Beyond The Linear Model

1 
20140428 
195.89kB 
28  
0 

MAGIC Summoning: Towards Automatic Suggesting and Testing of Gestures With Low Probability of False Positives During Use

1 
20140428 
2.04MB 
40  
0 

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

1 
20140428 
50.88kB 
35  
0 

When Is There a Representer Theorem? Vector Versus Matrix Regularizers

1 
20140428 
196.77kB 
32  
0 

Machine Learning Methods for Predicting Failures in Hard Drives: A MultipleInstance Application

1 
20140428 
274.51kB 
45  
0 

What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks

1 
20140428 
276.21kB 
34  
0 

GPstuff: Bayesian Modeling with Gaussian Processes

1 
20140428 
74.12kB 
34  
0 

Beyond Fano's Inequality: Bounds on the Optimal FScore, BER, and CostSensitive Risk and Their Implications

1 
20140428 
542.56kB 
45  
0 

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

1 
20140428 
131.09kB 
34  
0 

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

1 
20140428 
452.34kB 
36  
0 

Transfer Learning for Reinforcement Learning Domains: A Survey

1 
20140428 
409.39kB 
39  
0 

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

1 
20140428 
1.11MB 
38  
0 

Learning Hidden Variable Networks: The Information Bottleneck Approach

1 
20140428 
661.62kB 
33  
0 

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

1 
20140428 
519.90kB 
34  
0 

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

1 
20140428 
302.31kB 
44  
0 

Rearrangement Clustering: Pitfalls, Remedies, and Applications

1 
20140428 
866.52kB 
35  
0 

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

1 
20140428 
1.34MB 
38  
0 

Universal Algorithms for Learning Theory Part I : Piecewise Constant Functions

1 
20140428 
187.31kB 
39  
0 

Loopy Belief Propagation: Convergence and Effects of Message Errors

1 
20140428 
354.43kB 
27  
0 

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

1 
20140428 
478.68kB 
44  
0 

Measuring Differentiability: Unmasking Pseudonymous Authors

1 
20140428 
179.22kB 
30  
0 

The Pyramid Match Kernel: Efficient Learning with Sets of Features

1 
20140428 
7.96MB 
37  
0 

Maximum Volume Clustering: A New Discriminative Clustering Approach

1 
20140428 
531.38kB 
35  
0 

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

1 
20140428 
402.63kB 
36  
0 

Learning HighDimensional Markov Forest Distributions: Analysis of Error Rates

1 
20140428 
331.37kB 
32  
0 

The arules RPackage Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets

1 
20140428 
165.06kB 
34  
0 

"Ideal Parent" Structure Learning for Continuous Variable Bayesian Networks

1 
20140428 
663.20kB 
40  
0 

MSVMpack: A MultiClass Support Vector Machine Package

1 
20140428 
46.01kB 
33  
0 

LPmade: Link Prediction Made Easy

1 
20140428 
49.33kB 
33  
0 

MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals

1 
20140428 
395.93kB 
36  
0 

Inductive Synthesis of Functional Programs: An Explanation Based Generalization Approach (Special Topic on Inductive Programming)

1 
20140428 
258.89kB 
35  
0 

The Indian Buffet Process: An Introduction and Review

1 
20140428 
407.75kB 
95  
1 

Nearest Neighbor Clustering: A Baseline Method for Consistent Clustering with Arbitrary Objective Functions

1 
20140428 
303.53kB 
32  
0 

A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization

1 
20140428 
242.08kB 
37  
0 

Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies

1 
20140428 
389.20kB 
51  
0 

Incremental Support Vector Learning: Analysis, Implementation and Applications (Special Topic on Machine Learning and Optimization)

1 
20140428 
259.91kB 
39  
0 

Unsupervised Supervised Learning II: MarginBased Classification Without Labels

1 
20140428 
253.97kB 
33  
0 

Learning to Classify Ordinal Data: The Data Replication Method

1 
20140428 
448.24kB 
39  
0 

MULAN: A Java Library for MultiLabel Learning

1 
20140428 
29.58kB 
56  
0 

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

1 
20140428 
259.93kB 
39  
0 

JKernelMachines: A Simple Framework for Kernel Machines

1 
20140428 
69.75kB 
30  
0 

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

1 
20140428 
452.73kB 
30  
0 

CARP: Software for Fishing Out Good Clustering Algorithms

1 
20140428 
584.44kB 
38  
0 

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

1 
20140428 
817.86kB 
34  
0 

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

1 
20140428 
416.15kB 
33  
0 

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

1 
20140428 
2.03MB 
51  
0 

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

1 
20140428 
278.96kB 
35  
0 

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

1 
20140428 
494.39kB 
29  
0 

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

1 
20140428 
417.31kB 
54  
0 

DirectLiNGAM: A Direct Method for Learning a Linear NonGaussian Structural Equation Model

1 
20140428 
934.53kB 
38  
0 

Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting (Special Topic on Inductive Programming)

1 
20140428 
552.76kB 
42  
0 

Sparseness vs Estimating Conditional Probabilities: Some Asymptotic Results

1 
20140428 
146.64kB 
35  
0 

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

1 
20140428 
507.88kB 
35  
0 

Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts

1 
20140428 
490.17kB 
29  
0 

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

1 
20140428 
169.71kB 
45  
0 

OneClass SVMs for Document Classification (Kernel Machines Section)

1 
20140428 
326.60kB 
26  
0 

On Efficient Large Margin Semisupervised Learning: Method and Theory

1 
20140428 
630.90kB 
30  
0 

Regression on FixedRank Positive Semidefinite Matrices: A Riemannian Approach

1 
20140428 
340.67kB 
34  
0 

HPB: A Model for Handling BN Nodes with High Cardinality Parents

1 
20140428 
306.21kB 
24  
0 

Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective

1 
20140428 
293.98kB 
48  
0 

MultiAgent Reinforcement Learning in Common Interest and Fixed Sum Stochastic Games: An Experimental Study

1 
20140428 
31.04kB 
42  
0 

MDPs: Learning in Varying Environments

1 
20140428 
292.58kB 
44  
0 

Rademacher and Gaussian Complexities: Risk Bounds and Structural Results

1 
20140428 
309.45kB 
34  
0 

DEAP: Evolutionary Algorithms Made Easy

1 
20140428 
302.54kB 
74  
0 

Stopping Criterion for BoostingBased Data Reduction Techniques: from Binary to Multiclass Problem

1 
20140428 
274.08kB 
45  
0 

JNCC2: The Java Implementation Of Naive Credal Classifier 2(Machine Learning Open Source Software Paper)

1 
20140428 
184.93kB 
102  
0 

A Case Study on MetaGeneralising: A Gaussian Processes Approach

1 
20140428 
390.48kB 
42  
0 

MedLDA: Maximum Margin Supervised Topic Models

1 
20140428 
1.32MB 
41  
0 

Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2

1 
20140428 
267.56kB 
34  
0 

HighDimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion

1 
20140428 
380.31kB 
39  
0 

The Dynamics of AdaBoost: Cyclic Behavior and Convergence of Margins

1 
20140428 
168.45kB 
44  
0 

Jstacs: A Java Framework for Statistical Analysis and Classification of Biological Sequences

1 
20140428 
184.05kB 
70  
0 

Overlearning in Marginal DistributionBased ICA: Analysis and Solutions

1 
20140428 
2.09MB 
37  
0 

Learning Ensembles from Bites: A Scalable and Accurate Approach

1 
20140428 
452.37kB 
40  
0 

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

1 
20140428 
706.10kB 
50  
0 

SVMTorch: Support Vector Machines for LargeScale Regression Problems (Kernel Machines Section)

1 
20140428 
307.97kB 
37  
0 

Inducing Grammars from Sparse Data Sets: A Survey of Algorithms and Results

1 
20140428 
249.82kB 
28  
0 

Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence

1 
20140428 
1.72MB 
60  
0 

MalID: Automatic Malware Detection Using Common Segment Analysis and MetaFeatures

1 
20140428 
486.14kB 
43  
0 

Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifolds

1 
20140428 
5.48MB 
44  
0 

Manifold Learning: The Price of Normalization

1 
20140428 
320.12kB 
29  
0 

Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation

1 
20140428 
2.43MB 
41  
0 

Messagepassing for Graphstructured Linear Programs: Proximal Methods and Rounding Schemes

1 
20140428 
300.92kB 
38  
0 

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

1 
20140428 
2.01MB 
41  
0 

Chromatic PACBayes Bounds for NonIID Data: Applications to Ranking and Stationary Mixing Processes

1 
20140428 
237.71kB 
41  
0 

MULTIBOOST: A Multipurpose Boosting Package

1 
20140428 
40.06kB 
33  
0 

Beyond Independent Components: Trees and Clusters

1 
20140428 
239.11kB 
37  
0 

RCV1: A New Benchmark Collection for Text Categorization Research

1 
20140428 
394.83kB 
39  
0 

Model Selection: Beyond the BayesianFrequentist Divide

1 
20140428 
222.72kB 
33  
0 

Kronecker Graphs: An Approach to Modeling Networks

1 
20140428 
1.29MB 
42  
0 

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

1 
20140428 
230.61kB 
48  
0 

Oger: Modular Learning Architectures For LargeScale Sequential Processing

1 
20140428 
114.32kB 
36  
0 

SVDFeature: A Toolkit for Featurebased Collaborative Filtering

1 
20140428 
224.99kB 
36  
0 

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

1 
20140428 
1.39MB 
70  
0 

MOA: Massive Online Analysis

1 
20140428 
82.21kB 
40  
0 

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

1 
20140428 
1.68MB 
102  
0 

Blind Source Recovery: A Framework in the State Space

1 
20140428 
196.76kB 
39  
0 

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

1 
20140428 
563.08kB 
40  
0 

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

1 
20140428 
205.18kB 
44  
0 

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

1 
20140428 
240.55kB 
35  
0 

Tree Induction vs. Logistic Regression: A LearningCurve Analysis

1 
20140428 
309.92kB 
46  
0 

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

1 
20140428 
343.90kB 
44  
0 

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

1 
20140428 
304.58kB 
37  
0 

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

1 
20140428 
43.28kB 
39  
0 

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

1 
20140428 
1.94MB 
37  
0 

Hubs in Space: Popular Nearest Neighbors in HighDimensional Data

1 
20140428 
1.09MB 
36  
0 

Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers

1 
20140428 
277.92kB 
44  
0 

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

1 
20140428 
43.19kB 
65  
0 

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

1 
20140428 
642.66kB 
73  
1 

Support Vector Machine Soft Margin Classifiers: Error Analysis

1 
20140428 
2.70MB 
52  
0 

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

1 
20140428 
360.76kB 
44  
0 

Sally: A Tool for Embedding Strings in Vector Spaces

1 
20140428 
413.35kB 
41  
0 

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

1 
20140428 
322.05kB 
47  
0 

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

1 
20140428 
280.20kB 
38  
0 

Erratum: SGDQN is Less Careful than Expected

1 
20140428 
998.43kB 
42  
0 

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

1 
20140428 
968.87kB 
53  
0 

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

1 
20140428 
563.39kB 
53  
0 