Type  Name 
Files  Added  Size  DLs   

XArmed Bandits

1 
20140428 
835.49kB 
45  
0 

WorstCase Analysis of Selective Sampling for Linear Classification

1 
20140428 
184.34kB 
40  1+ 
0 

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

1 
20140428 
440.14kB 
42  1+ 
0 

WordSequence Kernels

1 
20140428 
13.79kB 
56  
0 

Why Does Unsupervised Pretraining Help Deep Learning?

1 
20140428 
1.29MB 
132  1+ 
1 

When Is There a Representer Theorem? Vector Versus Matrix Regularizers

1 
20140428 
196.77kB 
41  1+ 
0 

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

1 
20140428 
276.21kB 
44  1+ 
0 

WEKAExperiences with a Java OpenSource Project

1 
20140428 
216.11kB 
137  1+ 
0 

WeisfeilerLehman Graph Kernels

1 
20140428 
299.28kB 
43  1+ 
0 

Weather Data Mining Using Independent Component Analysis

1 
20140428 
168.93kB 
83  1+ 
0 

WalkSums and Belief Propagation in Gaussian Graphical Models

1 
20140428 
345.37kB 
47  1+ 
0 

Visualizing Data using tSNE

1 
20140428 
254.27kB 
39  1+ 
0 

Variational Message Passing

1 
20140428 
456.23kB 
46  
0 

Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components

1 
20140428 
337.60kB 
51  1+ 
0 

Variational Inference in Nonconjugate Models

1 
20140428 
500.05kB 
38  
0 

Variational Algorithms for Marginal MAP

1 
20140428 
665.80kB 
52  
0 

Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning

1 
20140428 
324.36kB 
44  1+ 
0 

Variable Sparsity Kernel Learning

1 
20140428 
236.15kB 
44  1+ 
0 

Variable Selection in Highdimensional Varyingcoefficient Models with Global Optimality

1 
20140428 
256.72kB 
48  1+ 
0 

Value Regularization and Fenchel Duality

1 
20140428 
299.19kB 
41  1+ 
0 

Value Function Based Reinforcement Learning in Changing Markovian Environments

1 
20140428 
382.70kB 
45  1+ 
0 

Value Function Approximation using Multiple Aggregation for Multiattribute Resource Management

1 
20140428 
1.34MB 
53  
0 

Using Symmetry and Evolutionary Search to Minimize Sorting Networks

1 
20140428 
507.96kB 
53  
0 

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

1 
20140428 
506.99kB 
72  
0 

Using Machine Learning to Guide Architecture Simulation

1 
20140428 
809.37kB 
73  2+ 
0 

Using Local Dependencies within Batches to Improve Large Margin Classifiers

1 
20140428 
268.98kB 
46  1+ 
0 

Using Contextual Representations to Efficiently Learn ContextFree Languages

1 
20140428 
356.13kB 
64  1+ 
0 

Use of the ZeroNorm with Linear Models and Kernel Methods (Kernel Machines Section)

1 
20140428 
230.27kB 
53  1+ 
0 

Unsupervised Supervised Learning II: MarginBased Classification Without Labels

1 
20140428 
253.97kB 
43  1+ 
0 

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

1 
20140428 
642.66kB 
86  
0 

Unsupervised SimilarityBased Risk Stratification for Cardiovascular Events Using LongTerm TimeSeries Data

1 
20140428 
276.07kB 
47  1+ 
0 

Unlabeled Compression Schemes for Maximum Classes

1 
20140428 
457.23kB 
44  
0 

Universality, Characteristic Kernels and RKHS Embedding of Measures

1 
20140428 
369.71kB 
40  1+ 
0 

Universal Kernels

1 
20140428 
140.17kB 
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 
44  1+ 
0 

Universal Algorithms for Learning Theory Part I : Piecewise Constant Functions

1 
20140428 
187.31kB 
51  1+ 
0 

Union Support Recovery in Multitask Learning

1 
20140428 
212.21kB 
46  1+ 
0 

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

1 
20140428 
188.01kB 
41  1+ 
0 

Undercomplete Blind Subspace Deconvolution

1 
20140428 
803.71kB 
44  
0 

Ultrahigh Dimensional Feature Selection: Beyond The Linear Model

1 
20140428 
195.89kB 
38  1+ 
0 

Ultraconservative Online Algorithms for Multiclass Problems

1 
20140428 
6.70MB 
58  1+ 
0 

Two DistributedState Models For Generating HighDimensional Time Series

1 
20140428 
866.01kB 
48  
0 

Trust Region Newton Method for Logistic Regression

1 
20140428 
48.85kB 
46  1+ 
0 

Truncating the Loop Series Expansion for Belief Propagation

1 
20140428 
1.31MB 
43  
0 

Truncated Power Method for Sparse Eigenvalue Problems

1 
20140428 
645.50kB 
62  
0 

TreeStructured Neural Decoding

1 
20140428 
254.19kB 
48  1+ 
0 

TreeBased Batch Mode Reinforcement Learning

1 
20140428 
1.32MB 
46  
0 

Tree Induction vs. Logistic Regression: A LearningCurve Analysis

1 
20140428 
309.92kB 
59  1+ 
0 

Tree Decomposition for LargeScale SVM Problems

1 
20140428 
403.78kB 
54  1+ 
0 

Transfer Learning via InterTask Mappings for Temporal Difference Learning

1 
20140428 
511.94kB 
48  
0 

Transfer Learning for Reinforcement Learning Domains: A Survey

1 
20140428 
409.39kB 
52  1+ 
0 

Transfer in Reinforcement Learning via Shared Features

1 
20140428 
434.22kB 
59  1+ 
0 

Training SVMs Without Offset

1 
20140428 
922.84kB 
42  
0 

Training EnergyBased Models for TimeSeries Imputation

1 
20140428 
419.20kB 
63  1+ 
0 

Training and Testing Lowdegree Polynomial Data Mappings via Linear SVM

1 
20140428 
150.51kB 
49  1+ 
0 

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

1 
20140428 
230.61kB 
63  1+ 
0 

Tracking the Best Linear Predictor

1 
20140428 
476.95kB 
79  2+ 
0 

Tracking a Small Set of Experts by Mixing Past Posteriors

1 
20140428 
64.74kB 
42  1+ 
0 

Towards Integrative Causal Analysis of Heterogeneous Data Sets and Studies

1 
20140428 
4.05MB 
47  
0 

Toward Attribute Efficient Learning of Decision Lists and Parities

1 
20140428 
129.72kB 
42  1+ 
0 

Topology Selection in Graphical Models of Autoregressive Processes

1 
20140428 
324.79kB 
46  1+ 
0 

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

1 
20140428 
5.48MB 
57  1+ 
0 

Theoretical Analysis of Bayesian Matrix Factorization

1 
20140428 
581.48kB 
53  
0 

Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective

1 
20140428 
293.98kB 
64  1+ 
0 

The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces (Kernel Machines Section)

1 
20140428 
675.84kB 
60  
0 

The Stationary Subspace Analysis Toolbox

1 
20140428 
70.42kB 
40  1+ 
0 

The SHOGUN Machine Learning Toolbox

1 
20140428 
37.24kB 
58  2+ 
0 

The Set Covering Machine

1 
20140428 
599.85kB 
50  
0 

The Sample Complexity of Exploration in the MultiArmed Bandit Problem (Special Topic on Learning Theory)

1 
20140428 
174.52kB 
55  1+ 
0 

The Sample Complexity of Dictionary Learning

1 
20140428 
185.59kB 
55  1+ 
0 

The Representational Power of Discrete Bayesian Networks

1 
20140428 
457.49kB 
56  
0 

The Rate of Convergence of AdaBoost

1 
20140428 
314.88kB 
50  1+ 
0 

The Pyramid Match Kernel: Efficient Learning with Sets of Features

1 
20140428 
7.96MB 
49  1+ 
0 

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

1 
20140428 
926.73kB 
75  
1 

The OnLine Shortest Path Problem Under Partial Monitoring

1 
20140428 
389.69kB 
45  1+ 
0 

The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs

1 
20140428 
1.53MB 
47  
0 

The Need for Open Source Software in Machine Learning

1 
20140428 
1.28MB 
68  
0 

The Minimum Error Minimax Probability Machine

1 
20140428 
196.39kB 
47  1+ 
0 

The Locally Weighted Bag of Words Framework for Document Representation

1 
20140428 
1.74MB 
51  
0 

The LearningCurve Sampling Method Applied to ModelBased Clustering

1 
20140428 
193.58kB 
44  1+ 
0 

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

1 
20140428 
118.18kB 
56  1+ 
0 

The Indian Buffet Process: An Introduction and Review

1 
20140428 
407.75kB 
107  1+ 
0 

The huge Package for Highdimensional Undirected Graph Estimation in R

1 
20140428 
339.26kB 
46  1+ 
0 

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

1 
20140428 
676.53kB 
59  
0 

The Entire Regularization Path for the Support Vector Machine

1 
20140428 
184.62kB 
46  1+ 
0 

The em Algorithm for Kernel Matrix Completion with Auxiliary Data

1 
20140428 
144.75kB 
43  1+ 
0 

The Dynamics of AdaBoost: Cyclic Behavior and Convergence of Margins

1 
20140428 
168.45kB 
53  1+ 
0 

The CAM Software for Nonnegative Blind Source Separation in RJava

1 
20140428 
637.86kB 
85  
1 

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

1 
20140428 
165.06kB 
44  1+ 
0 

Text Classification using String Kernels

1 
20140428 
202.03kB 
57  1+ 
0 

Text Chunking based on a Generalization of Winnow

1 
20140428 
199.64kB 
53  1+ 
0 

Task Clustering and Gating for Bayesian Multitask Learning

1 
20140428 
285.47kB 
64  1+ 
0 

Tapkee: An Efficient Dimension Reduction Library

1 
20140428 
598.47kB 
41  
0 

Synergistic Face Detection and Pose Estimation with EnergyBased Models

1 
20140428 
2.24MB 
50  
0 

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

1 
20140428 
307.97kB 
53  1+ 
0 

SVDFeature: A Toolkit for Featurebased Collaborative Filtering

1 
20140428 
224.99kB 
45  1+ 
0 

Support Vector Machinery for Infinite Ensemble Learning

1 
20140428 
153.85kB 
45  1+ 
0 

Support Vector Machine Soft Margin Classifiers: Error Analysis

1 
20140428 
2.70MB 
64  
0 

Support Vector Machine Active Learning with Applications to Text Classification

1 
20140428 
309.68kB 
116  1+ 
0 

Support Vector Clustering (Kernel Machines Section)

1 
20140428 
326.52kB 
52  1+ 
0 

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

1 
20140428 
373.95kB 
52  1+ 
0 

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

1 
20140428 
278.96kB 
44  1+ 
0 

Superior Guarantees for Sequential Prediction and Lossless Compression via Alphabet Decomposition

1 
20140428 
271.67kB 
43  1+ 
0 

SuperLinear Convergence of Dual Augmented Lagrangian Algorithm for Sparsity Regularized Estimation

1 
20140428 
852.47kB 
52  
0 

Sufficient Dimensionality Reduction (Kernel Machines Section)

1 
20140428 
195.34kB 
55  1+ 
0 

Subgroup Discovery with CN2SD

1 
20140428 
133.49kB 
51  1+ 
0 

Subgroup Analysis via Recursive Partitioning

1 
20140428 
143.83kB 
40  1+ 
0 

SubLocal ConstraintBased Learning of Bayesian Networks Using A Joint Dependence Criterion

1 
20140428 
614.81kB 
61  
0 

Structured Variable Selection with SparsityInducing Norms

1 
20140428 
446.85kB 
43  1+ 
0 

Structured Sparsity via Alternating Direction Methods

1 
20140428 
629.89kB 
60  
0 

Structured Sparsity and Generalization

1 
20140428 
146.96kB 
47  1+ 
0 

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

1 
20140428 
534.29kB 
51  
0 

Structure Spaces

1 
20140428 
669.80kB 
49  
0 

Structural Learning of Chain Graphs via Decomposition

1 
20140428 
809.44kB 
49  
0 

Strong Limit Theorems for the Bayesian Scoring Criterion in Bayesian Networks

1 
20140428 
120.69kB 
47  1+ 
0 

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

1 
20140428 
593.04kB 
139  
1 

Streamwise Feature Selection

1 
20140428 
163.86kB 
36  1+ 
0 

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

1 
20140428 
274.08kB 
55  1+ 
0 

Stochastic Variational Inference

1 
20140428 
397.78kB 
54  1+ 
0 

Stochastic Methods for l1regularized Loss Minimization

1 
20140428 
517.56kB 
42  
0 

Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization

1 
20140428 
711.51kB 
41  
0 

Stochastic Composite Likelihood

1 
20140428 
749.14kB 
43  
0 

Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation

1 
20140428 
140.34kB 
44  
0 

Step Size Adaptation in Reproducing Kernel Hilbert Space

1 
20140428 
450.31kB 
70  1+ 
0 

Statistical Dynamics of Online Independent Component Analysis

1 
20140428 
1.02MB 
64  
0 

Statistical Consistency of Kernel Canonical Correlation Analysis

1 
20140428 
367.80kB 
43  1+ 
0 

StationarySparse Causality Network Learning

1 
20140428 
416.79kB 
38  1+ 
0 

Stationary Features and Cat Detection

1 
20140428 
286.03kB 
48  1+ 
0 

Static Prediction Games for Adversarial Learning Problems

1 
20140428 
619.68kB 
54  
0 

Stagewise Lasso

1 
20140428 
611.53kB 
38  
0 

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

1 
20140428 
1.39MB 
79  
1 

Stable and Efficient Gaussian Process Calculations

1 
20140428 
246.97kB 
41  1+ 
0 

Stability Properties of Empirical Risk Minimization over Donsker Classes

1 
20140428 
164.35kB 
43  1+ 
0 

Stability of Randomized Learning Algorithms

1 
20140428 
177.76kB 
50  1+ 
0 

Stability of DensityBased Clustering

1 
20140428 
2.21MB 
43  
0 

Stability Bounds for Stationary mixing and mixing Processes

1 
20140428 
207.79kB 
47  1+ 
0 

Stability and Generalization

1 
20140428 
210.94kB 
48  1+ 
0 

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

1 
20140428 
478.68kB 
54  
0 

Speedup Learning for Repairbased Search by Identifying Redundant Steps

1 
20140428 
167.45kB 
47  1+ 
0 

Spectral Regularization Algorithms for Learning Large Incomplete Matrices

1 
20140428 
569.20kB 
44  
0 

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

1 
20140428 
443.41kB 
55  1+ 
0 

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

1 
20140428 
507.88kB 
46  
0 

Sparseness vs Estimating Conditional Probabilities: Some Asymptotic Results

1 
20140428 
146.64kB 
46  1+ 
0 

Sparse Spectrum Gaussian Process Regression

1 
20140428 
178.39kB 
50  1+ 
0 

Sparse SingleIndex Model

1 
20140428 
321.56kB 
54  1+ 
0 

Sparse Semisupervised Learning Using Conjugate Functions

1 
20140428 
331.42kB 
48  1+ 
0 

Sparse Online Learning via Truncated Gradient

1 
20140428 
287.28kB 
42  1+ 
0 

Sparse Matrix Inversion with Scaled Lasso

1 
20140428 
313.35kB 
41  1+ 
0 

Sparse Linear Identifiable Multivariate Modeling

1 
20140428 
533.99kB 
53  
0 

Sparse Boosting

1 
20140428 
242.10kB 
40  1+ 
0 

Sparse Activity and Sparse Connectivity in Supervised Learning

1 
20140428 
526.25kB 
47  
0 

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

1 
20140428 
336.31kB 
76  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 
82  
1 

Sources of Success for Boosted Wrapper Induction

1 
20140428 
166.05kB 
45  1+ 
0 

Some Theory for Generalized Boosting Algorithms

1 
20140428 
205.60kB 
45  1+ 
0 

Some Properties of Regularized Kernel Methods

1 
20140428 
215.97kB 
44  1+ 
0 

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

1 
20140428 
231.51kB 
164  3+ 
0 

Smoothing Multivariate Performance Measures

1 
20140428 
858.61kB 
44  
0 

Smooth Insensitive Regression by Loss Symmetrization

1 
20140428 
416.45kB 
42  1+ 
0 

SimpleMKL

1 
20140428 
843.95kB 
46  
0 

Similaritybased Clustering by LeftStochastic Matrix Factorization

1 
20140428 
317.14kB 
43  1+ 
0 

Similaritybased Classification: Concepts and Algorithms

1 
20140428 
8.74MB 
74  1+ 
0 

Sign Language Recognition using SubUnits

1 
20140428 
2.39MB 
57  
0 

Shark(Machine Learning Open Source Software Paper)

1 
20140428 
503.86kB 
162  
0 

Shallow Parsing using Specialized HMMs

1 
20140428 
308.35kB 
45  1+ 
0 

SGDQN: Careful QuasiNewton Stochastic Gradient Descent

1 
20140428 
151.45kB 
37  1+ 
0 

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

1 
20140428 
377.57kB 
41  1+ 
0 

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

1 
20140428 
132.70kB 
46  1+ 
0 

Semigroup Kernels on Measures

1 
20140428 
379.05kB 
43  1+ 
0 

SemiSupervised Novelty Detection

1 
20140428 
291.50kB 
46  1+ 
0 

SemiSupervised Learning with Measure Propagation

1 
20140428 
971.52kB 
43  
0 

SemiSupervised Learning Using Greedy MaxCut

1 
20140428 
1.49MB 
50  
0 

Selective Sampling and Active Learning from Single and Multiple Teachers

1 
20140428 
364.20kB 
51  1+ 
0 

Selective Rademacher Penalization and Reduced Error Pruning of Decision Trees

1 
20140428 
129.91kB 
46  1+ 
0 

Segregating Event Streams and Noise with a Markov Renewal Process Model

1 
20140428 
744.31kB 
55  
0 

Segmental Hidden Markov Models with Random Effects for Waveform Modeling

1 
20140428 
529.59kB 
49  
0 

Security Analysis of Online Centroid Anomaly Detection

1 
20140428 
912.39kB 
126  2+ 
0 

SecondOrder Bilinear Discriminant Analysis

1 
20140428 
1.12MB 
42  
0 

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

1 
20140428 
429.29kB 
51  1+ 
0 

Search for Additive Nonlinear Time Series Causal Models

1 
20140428 
784.42kB 
52  
0 

Scikitlearn: Machine Learning in Python

1 
20140428 
42.31kB 
3,433  4+ 
0 

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

1 
20140428 
335.41kB 
79  1+ 
0 

Sampling Methods for the Nystrm Method

1 
20140428 
210.92kB 
43  1+ 
0 

Sally: A Tool for Embedding Strings in Vector Spaces

1 
20140428 
413.35kB 
53  1+ 
0 

Robustness and Regularization of Support Vector Machines

1 
20140428 
189.27kB 
59  1+ 
0 

Robust Submodular Observation Selection

1 
20140428 
25.34MB 
69  1+ 
0 

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

1 
20140428 
499.13kB 
54  
0 

Robust Principal Component Analysis with Adaptive Selection for Tuning Parameters

1 
20140428 
3.30MB 
46  
0 

Robust Kernel Density Estimation

1 
20140428 
457.80kB 
47  
0 

Robust Gaussian Process Regression with a Studentt Likelihood

1 
20140428 
759.22kB 
45  
0 

Robust Approximate Bilinear Programming for Value Function Approximation

1 
20140428 
262.34kB 
44  1+ 
0 

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

1 
20140428 
50.88kB 
45  1+ 
0 

Risk Bounds of Learning Processes for Lvy Processes

1 
20140428 
273.29kB 
50  1+ 
0 

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

1 
20140428 
332.07kB 
40  1+ 
0 

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

1 
20140428 
280.20kB 
49  1+ 
0 

Restricted Eigenvalue Properties for Correlated Gaussian Designs

1 
20140428 
153.45kB 
48  1+ 
0 

Reproducing Kernel Banach Spaces for Machine Learning

1 
20140428 
245.38kB 
39  1+ 
0 

Relational Learning as Search in a Critical Region

1 
20140428 
100.20kB 
46  
0 

Relational Dependency Networks

1 
20140428 
2.92MB 
42  
0 

Rejoinder to Reponses to Evidence Contrary to the Statistical View of Boosting

1 
20140428 
362.15kB 
43  1+ 
0 

Reinforcement Learning with Factored States and Actions

1 
20140428 
210.67kB 
52  1+ 
0 

Reinforcement Learning in Finite MDPs: PAC Analysis

1 
20140428 
272.55kB 
48  1+ 
0 

Regularized Principal Manifolds (Kernel Machines Section)

1 
20140428 
728.96kB 
44  
0 

Regularized Discriminant Analysis, Ridge Regression and Beyond

1 
20140428 
332.20kB 
54  1+ 
0 

Regularized Bundle Methods for Convex and NonConvex Risks

1 
20140428 
576.41kB 
46  
0 

RegularizationFree Principal Curve Estimation

1 
20140428 
1.30MB 
41  
0 

Regularization Techniques for Learning with Matrices

1 
20140428 
242.01kB 
44  1+ 
0 

Regret Bounds and Minimax Policies under Partial Monitoring

1 
20140428 
386.70kB 
45  1+ 
0 

Regression on FixedRank Positive Semidefinite Matrices: A Riemannian Approach

1 
20140428 
340.67kB 
43  1+ 
0 

Refinement of Reproducing Kernels

1 
20140428 
239.00kB 
45  1+ 
0 

Refinement of Operatorvalued Reproducing Kernels

1 
20140428 
458.86kB 
47  
0 

Refinable Kernels

1 
20140428 
261.78kB 
43  1+ 
0 

Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers

1 
20140428 
277.92kB 
53  1+ 
0 

Recommender Systems Using Linear Classifiers

1 
20140428 
248.12kB 
100  1+ 
0 

Rearrangement Clustering: Pitfalls, Remedies, and Applications

1 
20140428 
866.52kB 
44  
0 

RCV1: A New Benchmark Collection for Text Categorization Research

1 
20140428 
394.83kB 
50  1+ 
0 

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

1 
20140428 
322.05kB 
57  1+ 
0 

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

1 
20140428 
201.79kB 
42  1+ 
0 

Ranking the Best Instances

1 
20140428 
245.84kB 
45  1+ 
0 

Ranking Individuals by Group Comparisons

1 
20140428 
158.95kB 
48  1+ 
0 

Ranking Forests

1 
20140428 
1.01MB 
45  
0 

Ranking Categorical Features Using Generalization Properties

1 
20140428 
449.95kB 
44  1+ 
0 

Ranking a Random Feature for Variable and Feature Selection

1 
20140428 
142.45kB 
57  3+ 
0 

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

1 
20140428 
325.55kB 
46  1+ 
0 

Randomized Variable Elimination

1 
20140428 
386.37kB 
49  1+ 
0 

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

1 
20140428 
306.69kB 
63  1+ 
0 

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

1 
20140428 
517.11kB 
46  
0 

Random Spanning Trees and the Prediction of Weighted Graphs

1 
20140428 
369.54kB 
67  3+ 
0 

Random Search for HyperParameter Optimization

1 
20140428 
728.27kB 
54  
0 

Rademacher and Gaussian Complexities: Risk Bounds and Structural Results

1 
20140428 
309.45kB 
44  1+ 
0 

RMAX  A General Polynomial Time Algorithm for NearOptimal Reinforcement Learning

1 
20140428 
101.23kB 
54  
0 

Query Transformations for Improving the Efficiency of ILP Systems

1 
20140428 
337.20kB 
46  1+ 
0 

Query Strategies for Evading ConvexInducing Classifiers

1 
20140428 
374.14kB 
44  1+ 
0 

Query Induction with SchemaGuided Pruning Strategies

1 
20140428 
424.42kB 
55  1+ 
0 

QuasiNewton Method: A New Direction

1 
20140428 
297.81kB 
59  1+ 
0 

Quantum Set Intersection and its Application to Associative Memory

1 
20140428 
404.25kB 
75  2+ 
0 

QuantMiner for Mining Quantitative Association Rules

1 
20140428 
319.05kB 
60  1+ 
0 

Quadratic Programming Feature Selection

1 
20140428 
358.44kB 
85  1+ 
0 

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

1 
20140428 
322.12kB 
46  1+ 
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 
262  1+ 
0 

PyBrain

1 
20140428 
71.14kB 
70  1+ 
0 

Proximal Methods for Hierarchical Sparse Coding

1 
20140428 
611.35kB 
40  
0 

Provably Efficient Learning with Typed Parametric Models

1 
20140428 
2.49MB 
42  
0 

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

1 
20140428 
1.34MB 
48  
0 

Properties of Monotonic Effects on Directed Acyclic Graphs

1 
20140428 
181.59kB 
43  1+ 
0 

Producing PowerLaw Distributions and Damping Word Frequencies with TwoStage Language Models

1 
20140428 
560.66kB 
49  
0 

Probability Product Kernels (Special Topic on Learning Theory)

1 
20140428 
742.63kB 
68  
0 

Probability Estimates for Multiclass Classification by Pairwise Coupling

1 
20140428 
501.96kB 
51  
0 

Probabilistic Characterization of Random Decision Trees

1 
20140428 
231.52kB 
50  1+ 
0 

Prioritization Methods for Accelerating MDP Solvers

1 
20140428 
542.57kB 
46  
0 

Prior Knowledge and Preferential Structures in Gradient Descent Learning Algorithms

1 
20140428 
486.62kB 
64  
0 

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

1 
20140428 
153.71kB 
47  1+ 
0 

Preference Elicitation via Theory Refinement

1 
20140428 
164.76kB 
45  1+ 
0 

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

1 
20140428 
208.64kB 
56  1+ 
0 

Prediction With Expert Advice For The Brier Game

1 
20140428 
1.34MB 
48  
0 

PREA: Personalized Recommendation Algorithms Toolkit

1 
20140428 
290.79kB 
96  1+ 
0 

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

1 
20140428 
616.99kB 
52  
0 

Posterior Sparsity in Unsupervised Dependency Parsing

1 
20140428 
383.82kB 
45  1+ 
0 

Posterior Regularization for Structured Latent Variable Models

1 
20140428 
1.18MB 
45  
0 

Positive Semidefinite Metric Learning Using Boostinglike Algorithms

1 
20140428 
520.97kB 
48  
0 

PolynomialDelay Enumeration of Monotonic Graph Classes

1 
20140428 
204.99kB 
48  1+ 
0 

Polynomial Identification in the Limit of Substitutable Contextfree Languages

1 
20140428 
150.26kB 
41  1+ 
0 

Policy Search using Paired Comparisons

1 
20140428 
178.54kB 
45  1+ 
0 

PointBased Value Iteration for Continuous POMDPs

1 
20140428 
527.86kB 
39  
0 

Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models

1 
20140428 
564.84kB 
42  
0 

Perturbation Corrections in Approximate Inference: Mixture Modelling Applications

1 
20140428 
863.46kB 
42  
0 

Permutation Tests for Studying Classifier Performance

1 
20140428 
295.57kB 
45  1+ 
0 

Penalized ModelBased Clustering with Application to Variable Selection

1 
20140428 
127.93kB 
45  1+ 
0 

PC Algorithm for Nonparanormal Graphical Models

1 
20140428 
177.77kB 
88  3+ 
0 

Pattern for Python

1 
20140428 
94.19kB 
325  2+ 
0 

Path Kernels and Multiplicative Updates

1 
20140428 
131.87kB 
36  1+ 
0 

Particle Swarm Model Selection(Special Topic on Model Selection)

1 
20140428 
563.42kB 
49  
0 

Parameter Screening and Optimisation for ILP using Designed Experiments

1 
20140428 
281.42kB 
43  1+ 
0 

Parallel Vector Field Embedding

1 
20140428 
4.10MB 
45  
0 

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

1 
20140428 
200.30kB 
153  1+ 
0 

Parallel Algorithm for Learning Optimal Bayesian Network Structure

1 
20140428 
394.24kB 
52  1+ 
0 

Pairwise Support Vector Machines and their Application to Large Scale Problems

1 
20140428 
262.89kB 
67  1+ 
0 

Pairwise Likelihood Ratios for Estimation of NonGaussian Structural Equation Models

1 
20140428 
1.16MB 
53  
0 

PAClearnability of Probabilistic Deterministic Finite State Automata

1 
20140428 
238.05kB 
51  1+ 
0 

PACBayesian Analysis of Coclustering and Beyond

1 
20140428 
614.96kB 
51  
0 

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

1 
20140428 
225.56kB 
40  1+ 
0 

PACBayes Bounds with Data Dependent Priors

1 
20140428 
325.02kB 
52  1+ 
0 

Overlearning in Marginal DistributionBased ICA: Analysis and Solutions

1 
20140428 
2.09MB 
47  
0 

Orange: Data Mining Toolbox in Python

1 
20140428 
63.40kB 
248  1+ 
0 

Optimized Cutting Plane Algorithm for LargeScale Risk Minimization

1 
20140428 
1.62MB 
41  
0 

Optimization Techniques for SemiSupervised Support Vector Machines

1 
20140428 
48.17kB 
50  1+ 
0 

Optimistic Bayesian Sampling in ContextualBandit Problems

1 
20140428 
9.99MB 
75  1+ 
0 

Optimising Kernel Parameters and Regularisation Coefficients for Nonlinear Discriminant Analysis

1 
20140428 
487.93kB 
40  
0 

Optimally Fuzzy Temporal Memory

1 
20140428 
674.31kB 
53  
0 

Optimal Solutions for Sparse Principal Component Analysis

1 
20140428 
308.86kB 
45  1+ 
0 

Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure

1 
20140428 
295.45kB 
56  1+ 
0 

Optimal Distributed Online Prediction Using MiniBatches

1 
20140428 
334.87kB 
52  2+ 
0 

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

1 
20140428 
327.20kB 
45  1+ 
0 

Operator Norm Convergence of Spectral Clustering on Level Sets

1 
20140428 
247.31kB 
43  1+ 
0 

Online Submodular Minimization

1 
20140428 
140.14kB 
43  1+ 
0 

Online PassiveAggressive Algorithms

1 
20140428 
372.77kB 
48  1+ 
0 

Online Learning with Samples Drawn from Nonidentical Distributions

1 
20140428 
210.13kB 
37  1+ 
0 

Online Learning with Sample Path Constraints

1 
20140428 
192.14kB 
53  1+ 
0 

Online Learning of Multiple Tasks with a Shared Loss

1 
20140428 
259.62kB 
48  1+ 
0 

Online Learning of Complex Prediction Problems Using Simultaneous Projections

1 
20140428 
490.02kB 
58  
0 

Online Learning in the Embedded Manifold of Lowrank Matrices

1 
20140428 
337.10kB 
57  1+ 
0 

Online Learning for Matrix Factorization and Sparse Coding

1 
20140428 
4.17MB 
53  
0 

Online Choice of Active Learning Algorithms

1 
20140428 
518.47kB 
88  
1 

Oneshot Learning Gesture Recognition from RGBD Data Using Bag of Features

1 
20140428 
2.95MB 
52  
0 

OneClass SVMs for Document Classification (Kernel Machines Section)

1 
20140428 
326.60kB 
33  1+ 
0 

OneClass Novelty Detection for Seizure Analysis from Intracranial EEG

1 
20140428 
276.87kB 
51  1+ 
0 

OnLine Sequential Bin Packing

1 
20140428 
166.10kB 
52  1+ 
0 

On Using Extended Statistical Queries to Avoid Membership Queries

1 
20140428 
1.48MB 
40  
0 

On the Suitable Domain for SVM Training in Image Coding

1 
20140428 
521.36kB 
54  
0 

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

1 
20140428 
856.27kB 
43  
0 

On the Representer Theorem and Equivalent Degrees of Freedom of SVR

1 
20140428 
463.09kB 
42  
0 

On the Rate of Convergence of the Bagged Nearest Neighbor Estimate

1 
20140428 
193.66kB 
47  1+ 
0 

On the Rate of Convergence of Regularized Boosting Classifiers

1 
20140428 
198.89kB 
49  1+ 
0 

On the Proper Learning of AxisParallel Concepts

1 
20140428 
190.23kB 
43  1+ 
0 

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

1 
20140428 
174.96kB 
43  1+ 
0 

On the Necessity of Irrelevant Variables

1 
20140428 
299.76kB 
51  1+ 
0 

On the Mutual Nearest Neighbors Estimate in Regression

1 
20140428 
142.78kB 
40  1+ 
0 

On the Learnability of Shuffle Ideals

1 
20140428 
181.53kB 
46  1+ 
0 

On the Importance of Small Coordinate Projections

1 
20140428 
215.55kB 
48  1+ 
0 

On the Foundations of Noisefree Selective Classification

1 
20140428 
552.99kB 
39  
0 

On the Equivalence of Linear DimensionalityReducing Transformations

1 
20140428 
336.14kB 
47  1+ 
0 

On the Effectiveness of Laplacian Normalization for Graph Semisupervised Learning

1 
20140428 
287.25kB 
38  1+ 
0 

On the Convergence Rate of lpNorm Multiple Kernel Learning

1 
20140428 
417.13kB 
56  1+ 
0 

On the Convergence of Maximum Variance Unfolding

1 
20140428 
219.46kB 
44  1+ 
0 

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

1 
20140428 
174.76kB 
46  1+ 
0 

On the Complexity of Learning Lexicographic Strategies

1 
20140428 
203.25kB 
40  1+ 
0 

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

1 
20140428 
494.39kB 
29  
0 

On Spectral Learning

1 
20140428 
152.33kB 
44  1+ 
0 

On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition

1 
20140428 
488.22kB 
46  
0 

On Relevant Dimensions in Kernel Feature Spaces

1 
20140428 
102.56kB 
38  
0 

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

1 
20140428 
759.29kB 
63  
0 

On Online Learning of Decision Lists

1 
20140428 
523.75kB 
50  
0 

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

1 
20140428 
161.92kB 
52  1+ 
0 

On Model Selection Consistency of Lasso

1 
20140428 
172.94kB 
41  1+ 
0 

On Learning with Integral Operators

1 
20140428 
229.28kB 
62  3+ 
0 

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

1 
20140428 
275.12kB 
88  1+ 
0 

On InclusionDriven Learning of Bayesian Networks

1 
20140428 
245.65kB 
39  1+ 
0 

On Equivalence Relationships Between Classification and Ranking Algorithms

1 
20140428 
376.99kB 
46  1+ 
0 

On Efficient Large Margin Semisupervised Learning: Method and Theory

1 
20140428 
630.90kB 
41  
0 

On Boosting with Polynomially Bounded Distributions

1 
20140428 
285.32kB 
43  1+ 
0 

Oger: Modular Learning Architectures For LargeScale Sequential Processing

1 
20140428 
114.32kB 
45  
0 

Nonparametric Sparsity and Regularization

1 
20140428 
612.85kB 
55  
0 

Nonparametric Quantile Estimation

1 
20140428 
904.72kB 
47  
0 

Nonparametric Guidance of Autoencoder Representations using Label Information

1 
20140428 
816.49kB 
48  
0 

Nonlinear Models Using Dirichlet Process Mixtures

1 
20140428 
231.28kB 
52  1+ 
0 

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

1 
20140428 
337.83kB 
44  1+ 
0 

Nonlinear Boosting Projections for Ensemble Construction

1 
20140428 
10.52MB 
55  1+ 
0 

Nonextensive Information Theoretic Kernels on Measures

1 
20140428 
377.54kB 
49  1+ 
0 

NonSparse Multiple Kernel Fisher Discriminant Analysis

1 
20140428 
555.62kB 
50  
0 

NonParametric Modeling of Partially Ranked Data

1 
20140428 
390.11kB 
42  1+ 
0 

NonParametric Estimation of Topic Hierarchies from Texts with Hierarchical Dirichlet Processes

1 
20140428 
524.92kB 
43  
0 

NoisyOR Component Analysis and its Application to Link Analysis

1 
20140428 
529.55kB 
41  
0 

NoiseContrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics

1 
20140428 
2.44MB 
47  
0 

Noise Tolerant Variants of the Perceptron Algorithm

1 
20140428 
318.94kB 
54  1+ 
0 

No Unbiased Estimator of the Variance of KFold CrossValidation

1 
20140428 
214.69kB 
57  1+ 
0 

NIMFA : A Python Library for Nonnegative Matrix Factorization

1 
20140428 
35.81kB 
102  1+ 
0 

NeymanPearson Classification, Convexity and Stochastic Constraints

1 
20140428 
187.16kB 
37  1+ 
0 

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

1 
20140428 
274.56kB 
74  1+ 
0 

New Horn Revision Algorithms

1 
20140428 
149.38kB 
43  1+ 
0 

New Algorithms for Efficient HighDimensional Nonparametric Classification

1 
20140428 
183.68kB 
53  1+ 
0 

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

1 
20140428 
452.73kB 
40  1+ 
0 

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

1 
20140428 
1.20MB 
43  
0 

Nearly Uniform Validation Improves CompressionBased Error Bounds

1 
20140428 
194.19kB 
41  1+ 
0 

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

1 
20140428 
303.53kB 
44  1+ 
0 

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

1 
20140428 
43.19kB 
74  
1 

Nearoptimal Regret Bounds for Reinforcement Learning

1 
20140428 
358.46kB 
45  1+ 
0 

Natural Language Processing (Almost) from Scratch

1 
20140428 
424.78kB 
249  1+ 
0 

Nash QLearning for GeneralSum Stochastic Games

1 
20140428 
780.70kB 
56  
0 

Multivariate Convex Regression with Adaptive Partitioning

1 
20140428 
1.73MB 
59  
0 

MultipleInstance Learning of RealValued Data

1 
20140428 
7.10kB 
103  3+ 
0 

Multiple Kernel Learning Algorithms

1 
20140428 
395.81kB 
43  1+ 
0 

Multiclass Classification with MultiPrototype Support Vector Machines

1 
20140428 
375.44kB 
37  1+ 
0 

Multiclass Boosting for Weak Classifiers

1 
20140428 
194.47kB 
38  1+ 
0 

Multicategory LargeMargin Unified Machines

1 
20140428 
612.67kB 
49  
0 

MULTIBOOST: A Multipurpose Boosting Package

1 
20140428 
40.06kB 
43  
0 

Multitask Reinforcement Learning in Partially Observable Stochastic Environments

1 
20140428 
670.45kB 
44  
0 

Multitask Regression using Minimal Penalties

1 
20140428 
293.14kB 
46  1+ 
0 

MultiTask Learning for Classification with Dirichlet Process Priors

1 
20140428 
250.97kB 
39  1+ 
0 

MultiTarget Regression with Rule Ensembles

1 
20140428 
328.30kB 
47  1+ 
0 

MultiStage MultiTask Feature Learning

1 
20140428 
304.00kB 
55  1+ 
0 

MultiInstance Learning with Any Hypothesis Class

1 
20140428 
328.57kB 
50  1+ 
0 

Multiclass Protein Classification Using Adaptive Codes

1 
20140428 
316.49kB 
47  1+ 
0 

Multiclass Discriminant Kernel Learning via Convex Programming(Special Topic on Model Selection)

1 
20140428 
269.35kB 
48  1+ 
0 

MultiAssignment Clustering for Boolean Data

1 
20140428 
604.58kB 
50  
0 

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

1 
20140428 
31.04kB 
57  2+ 
0 

Multi Kernel Learning with OnlineBatch Optimization

1 
20140428 
351.51kB 
44  1+ 
0 

MULAN: A Java Library for MultiLabel Learning

1 
20140428 
29.58kB 
87  1+ 
0 

MSVMpack: A MultiClass Support Vector Machine Package

1 
20140428 
46.01kB 
44  
0 

Models of Cooperative Teaching and Learning

1 
20140428 
278.16kB 
81  1+ 
0 

Modelbased Boosting 2.0

1 
20140428 
103.27kB 
54  
0 

Model Selection: Beyond the BayesianFrequentist Divide

1 
20140428 
222.72kB 
43  1+ 
0 

Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data

1 
20140428 
284.29kB 
46  1+ 
0 

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

1 
20140428 
264.41kB 
49  1+ 
0 

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

1 
20140428 
169.71kB 
55  1+ 
0 

Model Averaging for Prediction with Discrete Bayesian Networks

1 
20140428 
251.42kB 
70  1+ 
0 

MOA: Massive Online Analysis

1 
20140428 
82.21kB 
52  
0 

MLPs (MonoLayer Polynomials and MultiLayer Perceptrons) for Nonlinear Modeling

1 
20140428 
183.69kB 
53  1+ 
0 

MLPACK: A Scalable C++ Machine Learning Library

1 
20140428 
68.23kB 
76  
1 

MLFlex: A Flexible Toolbox for Performing Classification Analyses In Parallel

1 
20140428 
37.01kB 
47  1+ 
0 

Mixed Membership Stochastic Blockmodels

1 
20140428 
140.43kB 
51  1+ 
0 

Mixability is Bayes Risk Curvature Relative to Log Loss

1 
20140428 
429.80kB 
51  1+ 
0 

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

1 
20140428 
395.93kB 
46  1+ 
0 

Minimum Description Length Penalization for Group and MultiTask Sparse Learning

1 
20140428 
317.95kB 
45  1+ 
0 

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

1 
20140428 
316.40kB 
73  3+ 
0 

Minimax Regret Classifier for Imprecise Class Distributions

1 
20140428 
329.71kB 
46  1+ 
0 

Minimax Manifold Estimation

1 
20140428 
2.33MB 
63  
0 

Minimal Nonlinear Distortion Principle for Nonlinear Independent Component Analysis

1 
20140428 
2.91MB 
51  
0 

Minimal Kernel Classifiers (Kernel Machines Section)

1 
20140428 
408.15kB 
69  1+ 
0 

Metric and Kernel Learning Using a Linear Transformation

1 
20140428 
473.91kB 
49  
0 

Messagepassing for Graphstructured Linear Programs: Proximal Methods and Rounding Schemes

1 
20140428 
300.92kB 
48  1+ 
0 

MessagePassing Algorithms for Quadratic Minimization

1 
20140428 
264.04kB 
60  1+ 
0 

MedLDA: Maximum Margin Supervised Topic Models

1 
20140428 
1.32MB 
51  
0 

Measuring Differentiability: Unmasking Pseudonymous Authors

1 
20140428 
179.22kB 
41  1+ 
0 

Mean Field Variational Approximation for ContinuousTime Bayesian Networks

1 
20140428 
1.12MB 
44  
0 

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

1 
20140428 
252.09kB 
41  1+ 
0 

Maximum Volume Clustering: A New Discriminative Clustering Approach

1 
20140428 
531.38kB 
45  
0 

Maximum Relative Margin and DataDependent Regularization

1 
20140428 
466.22kB 
41  
0 

Maximum Margin Algorithms with Boolean Kernels

1 
20140428 
192.07kB 
49  1+ 
0 

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

1 
20140428 
2.01MB 
50  
0 

Maximum Entropy Discrimination Markov Networks

1 
20140428 
593.20kB 
41  
0 

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

1 
20140428 
432.51kB 
45  1+ 
0 

Maxmargin Classification of Data with Absent Features

1 
20140428 
292.24kB 
51  1+ 
0 

Matrix Exponentiated Gradient Updates for Online Learning and Bregman Projection

1 
20140428 
243.08kB 
42  1+ 
0 

Matrix Completion from Noisy Entries

1 
20140428 
199.96kB 
66  1+ 
0 

Matching Words and Pictures

1 
20140428 
241.45kB 
51  1+ 
0 

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

1 
20140428 
548.81kB 
57  
0 

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

1 
20140428 
231.17kB 
42  1+ 
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Marginal Likelihood Integrals for Mixtures of Independence Models

1 
20140428 
177.75kB 
39  1+ 
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Marginbased Ranking and an Equivalence between AdaBoost and RankBoost

1 
20140428 
420.29kB 
51  2+ 
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Margin Trees for Highdimensional Classification

1 
20140428 
102.52kB 
43  
0 

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

1 
20140428 
416.15kB 
43  1+ 
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Manifold Learning: The Price of Normalization

1 
20140428 
320.12kB 
40  1+ 
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Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning

1 
20140428 
2.18MB 
49  
0 

Managing Diversity in Regression Ensembles

1 
20140428 
251.19kB 
43  1+ 
0 

MalID: Automatic Malware Detection Using Common Segment Analysis and MetaFeatures

1 
20140428 
486.14kB 
80  
0 

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

1 
20140428 
2.04MB 
52  
0 

Magic Moments for Structured Output Prediction

1 
20140428 
264.13kB 
48  1+ 
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Machine Learning with Operational Costs

1 
20140428 
824.49kB 
67  
0 

Machine Learning with Data Dependent Hypothesis Classes

1 
20140428 
145.27kB 
48  1+ 
0 

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

1 
20140428 
274.51kB 
56  1+ 
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Machine Learning for Computer Security(Special Topic on Machine Learning for Computer Security)

1 
20140428 
59.94kB 
260  2+ 
0 

Lyapunov Design for Safe Reinforcement Learning

1 
20140428 
1.13MB 
69  
0 

LPmade: Link Prediction Made Easy

1 
20140428 
49.33kB 
43  1+ 
0 

lpNorm Multiple Kernel Learning

1 
20140428 
434.40kB 
48  1+ 
0 

LpNested Symmetric Distributions

1 
20140428 
3.37MB 
50  
0 

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

1 
20140428 
200.24kB 
40  1+ 
0 

LowRank Kernel Learning with Bregman Matrix Divergences

1 
20140428 
390.24kB 
59  3+ 
0 

Lovasz theta function, SVMs and Finding Dense Subgraphs

1 
20140428 
730.31kB 
43  
0 

Lossless Online Bayesian Bagging

1 
20140428 
383.90kB 
92  2+ 
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Loopy Belief Propagation: Convergence and Effects of Message Errors

1 
20140428 
354.43kB 
38  1+ 
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Loop Corrections for Approximate Inference on Factor Graphs

1 
20140428 
781.06kB 
41  
0 

Logistic StickBreaking Process

1 
20140428 
2.25MB 
49  
0 

Locally Defined Principal Curves and Surfaces

1 
20140428 
2.87MB 
43  
0 

Local Discriminant Wavelet Packet Coordinates for Face Recognition

1 
20140428 
371.96kB 
58  1+ 
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Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part II: Analysis and Extensions

1 
20140428 
1.94MB 
46  
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 
52  
0 

Local and Global Scaling Reduce Hubs in Space

1 
20140428 
388.42kB 
74  1+ 
0 

LinearTime Computation of Similarity Measures for Sequential Data

1 
20140428 
533.68kB 
47  
0 

Linear StateSpace Models for Blind Source Separation

1 
20140428 
325.02kB 
46  1+ 
0 

Linear Regression With Random Projections

1 
20140428 
586.31kB 
63  
0 

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

1 
20140428 
127.43kB 
49  1+ 
0 

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

1 
20140428 
802.84kB 
101  
1 

Linear FittedQ Iteration with Multiple Reward Functions

1 
20140428 
1.30MB 
44  
0 

Linear Algorithms for Online Multitask Classification

1 
20140428 
402.57kB 
47  1+ 
0 

Limitations of Learning Via Embeddings in Euclidean Half Spaces

1 
20140428 
283.79kB 
48  1+ 
0 

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

1 
20140428 
1.43MB 
59  
0 

LeastSquares Policy Iteration

1 
20140428 
312.97kB 
58  1+ 
0 

Learning with Structured Sparsity

1 
20140428 
518.70kB 
46  
0 

Learning with Mixtures of Trees

1 
20140428 
347.23kB 
41  1+ 
0 

Learning with Decision Lists of DataDependent Features

1 
20140428 
196.48kB 
41  1+ 
0 

Learning When Concepts Abound

1 
20140428 
351.75kB 
40  1+ 
0 

Learning Translation Invariant Kernels for Classification

1 
20140428 
398.68kB 
57  1+ 
0 

Learning Transformation Models for Ranking and Survival Analysis

1 
20140428 
806.05kB 
47  
0 

Learning to Select Features using their Properties

1 
20140428 
137.76kB 
54  1+ 
0 

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

1 
20140428 
206.73kB 
108  1+ 
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Learning to Construct Fast Signal Processing Implementations

1 
20140428 
283.99kB 
54  1+ 
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Learning to Combine Motor Primitives Via Greedy Additive Regression

1 
20140428 
1.88MB 
46  4+ 
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Learning to Classify Ordinal Data: The Data Replication Method

1 
20140428 
448.24kB 
49  1+ 
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Learning Theory Approach to Minimum Error Entropy Criterion

1 
20140428 
194.96kB 
60  1+ 
0 

Learning Theory Analysis for Association Rules and Sequential Event Prediction

1 
20140428 
1.99MB 
46  
0 

Learning the Structure of Linear Latent Variable Models

1 
20140428 
451.79kB 
49  1+ 
0 

Learning the Kernel with Hyperkernels (Kernel Machines Section)

1 
20140428 
434.77kB 
57  1+ 
0 

Learning the Kernel Matrix with Semidefinite Programming

1 
20140428 
386.57kB 
64  1+ 
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Learning the Kernel Function via Regularization

1 
20140428 
221.87kB 
49  1+ 
0 

Learning Symbolic Representations of Hybrid Dynamical Systems

1 
20140428 
1.99MB 
61  
0 

Learning Spectral Clustering, With Application To Speech Separation

1 
20140428 
660.25kB 
48  
0 

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

1 
20140428 
254.49kB 
50  1+ 
0 

Learning Similarity with Operatorvalued Largemargin Classifiers

1 
20140428 
197.46kB 
39  1+ 
0 

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

1 
20140428 
533.07kB 
87  
1 

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

1 
20140428 
267.56kB 
44  1+ 
0 

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

1 
20140428 
192.33kB 
48  1+ 
0 

Learning Rates for Qlearning

1 
20140428 
225.65kB 
43  1+ 
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Learning Probabilistic Models: An Expected Utility Maximization Approach

1 
20140428 
271.70kB 
138  1+ 
0 

Learning Probabilistic Models of Link Structure

1 
20140428 
1.99MB 
62  
0 

Learning Precise Timing with LSTM Recurrent Networks

1 
20140428 
341.85kB 
71  1+ 
0 

Learning Permutations with Exponential Weights

1 
20140428 
246.97kB 
40  1+ 
0 

Learning PartsBased Representations of Data

1 
20140428 
440.26kB 
50  1+ 
0 

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

1 
20140428 
144.51kB 
42  1+ 
0 

Learning Nondeterministic Classifiers

1 
20140428 
422.56kB 
52  1+ 
0 

Learning NonStationary Dynamic Bayesian Networks

1 
20140428 
1.88MB 
55  
0 

Learning Multiple Tasks with Kernel Methods

1 
20140428 
164.09kB 
70  3+ 
0 

Learning Multimodal Similarity

1 
20140428 
468.43kB 
46  
0 

Learning Monotone DNF from a Teacher that Almost Does Not Answer Membership Queries

1 
20140428 
151.73kB 
49  1+ 
0 

Learning Module Networks

1 
20140428 
406.70kB 
76  1+ 
0 

Learning Minimum Volume Sets

1 
20140428 
917.29kB 
43  
0 

Learning Linear Ranking Functions for Beam Search with Application to Planning

1 
20140428 
354.72kB 
47  1+ 
0 

Learning Linear Cyclic Causal Models with Latent Variables

1 
20140428 
516.05kB 
47  
0 

Learning Latent Tree Graphical Models

1 
20140428 
734.64kB 
43  
0 

Learning InstanceSpecific Predictive Models

1 
20140428 
474.95kB 
54  
0 

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

1 
20140428 
1.11MB 
50  
0 

Learning Horn Expressions with LOGANH

1 
20140428 
814.71kB 
43  
0 

Learning HighDimensional Markov Forest Distributions: Analysis of Error Rates

1 
20140428 
331.37kB 
43  1+ 
0 

Learning Hidden Variable Networks: The Information Bottleneck Approach

1 
20140428 
661.62kB 
44  
0 

Learning Halfspaces with Malicious Noise

1 
20140428 
193.75kB 
50  1+ 
0 

Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence

1 
20140428 
1.72MB 
70  
0 

Learning from Partial Labels

1 
20140428 
1.91MB 
51  
0 

Learning from Multiple Sources

1 
20140428 
510.00kB 
46  
0 

Learning from Examples as an Inverse Problem

1 
20140428 
149.25kB 
50  1+ 
0 

Learning From Crowds

1 
20140428 
238.95kB 
50  1+ 
0 

Learning Factor Graphs in Polynomial Time and Sample Complexity

1 
20140428 
355.63kB 
51  1+ 
0 

Learning Evaluation Functions to Improve Optimization by Local Search

1 
20140428 
568.36kB 
82  
1 

Learning Equivariant Functions with Matrix Valued Kernels

1 
20140428 
495.75kB 
49  
0 

Learning Ensembles from Bites: A Scalable and Accurate Approach

1 
20140428 
452.37kB 
51  1+ 
0 

Learning Coordinate Covariances via Gradients

1 
20140428 
385.96kB 
45  1+ 
0 

Learning Control Knowledge for Forward Search Planning

1 
20140428 
203.05kB 
45  1+ 
0 

Learning Bounded Treewidth Bayesian Networks

1 
20140428 
3.18MB 
56  
0 

Learning Bilinear Model for Matching Queries and Documents

1 
20140428 
350.48kB 
46  1+ 
0 

Learning Balls of Strings from Edit Corrections

1 
20140428 
648.89kB 
50  
0 

Learning Approximate Sequential Patterns for Classification

1 
20140428 
199.95kB 
41  1+ 
0 

Learning Algorithms for the Classification Restricted Boltzmann Machine

1 
20140428 
369.76kB 
47  1+ 
0 

Learning Acyclic Probabilistic Circuits Using Test Paths

1 
20140428 
261.89kB 
43  1+ 
0 

Learning a Robust Relevance Model for Search Using Kernel Methods

1 
20140428 
256.74kB 
44  1+ 
0 

Learning a Mahalanobis Metric from Equivalence Constraints

1 
20140428 
868.95kB 
60  
0 

Learning a Hidden Hypergraph

1 
20140428 
178.94kB 
55  1+ 
0 

Learnability, Stability and Uniform Convergence

1 
20140428 
331.23kB 
62  1+ 
0 

Learnability of Gaussians with Flexible Variances

1 
20140428 
226.30kB 
43  1+ 
0 

Latent Dirichlet Allocation

1 
20140428 
388.44kB 
60  1+ 
0 

Largescale SVD and Manifold Learning

1 
20140428 
4.35MB 
40  
0 

Largescale Linear Support Vector Regression

1 
20140428 
1.08MB 
50  
0 

LargeSample Learning of Bayesian Networks is NPHard

1 
20140428 
342.07kB 
80  3+ 
0 

Large Scale Transductive SVMs

1 
20140428 
220.63kB 
43  1+ 
0 

Large Scale Online Learning of Image Similarity Through Ranking

1 
20140428 
1.17MB 
42  
0 

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

1 
20140428 
937.23kB 
54  
0 

Large Margin Semisupervised Learning

1 
20140428 
260.99kB 
37  1+ 
0 

Large Margin Methods for Structured and Interdependent Output Variables

1 
20140428 
240.67kB 
42  1+ 
0 

Large Margin Hierarchical Classification with Mutually Exclusive Class Membership

1 
20140428 
269.39kB 
39  1+ 
0 

Laplacian Support Vector Machines Trained in the Primal

1 
20140428 
502.28kB 
52  
0 

LanguageMotivated Approaches to Action Recognition

1 
20140428 
1.74MB 
123  
0 

Lagrangian Support Vector Machines (Kernel Machines Section)

1 
20140428 
280.39kB 
83  1+ 
0 

Kronecker Graphs: An Approach to Modeling Networks

1 
20140428 
1.29MB 
52  
0 

KnowledgeBased Kernel Approximation

1 
20140428 
152.55kB 
75  2+ 
0 

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

1 
20140428 
552.76kB 
57  
0 

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

1 
20140428 
193.09kB 
46  1+ 
0 

Kernel Regression in the Presence of Correlated Errors

1 
20140428 
465.08kB 
51  
0 

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

1 
20140428 
235.16kB 
47  1+ 
0 

Kernel Methods for Relation Extraction

1 
20140428 
1.70MB 
57  
0 

Kernel Methods for Measuring Independence

1 
20140428 
478.95kB 
43  
0 

Kernel Independent Component Analysis (Kernel Machines Section)

1 
20140428 
481.88kB 
51  
0 

Kernel Bayes' Rule: Bayesian Inference with Positive Definite Kernels

1 
20140428 
329.17kB 
55  1+ 
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Kernel Analysis of Deep Networks

1 
20140428 
762.62kB 
94  
1 

Keep It Simple And Sparse: RealTime Action Recognition

1 
20140428 
1.87MB 
64  
0 

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

1 
20140428 
184.05kB 
92  1+ 
0 

Joint Harmonic Functions and Their Supervised Connections

1 
20140428 
749.03kB 
43  
0 

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

1 
20140428 
184.93kB 
121  1+ 
0 

JKernelMachines: A Simple Framework for Kernel Machines

1 
20140428 
69.75kB 
40  1+ 
0 

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

1 
20140428 
28.92kB 
189  
1 

Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models

1 
20140428 
319.91kB 
44  1+ 
0 

Iterative Reweighted Algorithms for Matrix Rank Minimization

1 
20140428 
335.72kB 
53  1+ 
0 

Inverse Reinforcement Learning in Partially Observable Environments

1 
20140428 
626.03kB 
57  
0 

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

1 
20140428 
25.98kB 
98  2+ 
0 

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

1 
20140428 
11.70kB 
52  1+ 
0 

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

1 
20140428 
346.30kB 
69  1+ 
0 

Introduction to the Special Issue on Learning Theory

1 
20140428 
411.96kB 
68  1+ 
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Introduction to the Special Issue on Kernel Methods (Kernel Machines Section)

1 
20140428 
81.05kB 
47  
0 

Introduction to the Special Issue on Inductive Logic Programming

1 
20140428 
708.77kB 
51  
0 

Introduction to Special Issue on Machine Learning Approaches to Shallow Parsing

1 
20140428 
392.17kB 
58  1+ 
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Introduction to Special Issue on Independent Components Analysis

1 
20140428 
259.60kB 
58  1+ 
0 

Integrating Nave Bayes and FOIL

1 
20140428 
223.18kB 
43  1+ 
0 

Integrating a Partial Model into Model Free Reinforcement Learning

1 
20140428 
328.43kB 
48  1+ 
0 

Inner Product Spaces for Bayesian Networks

1 
20140428 
164.61kB 
42  1+ 
0 

Information, Divergence and Risk for Binary Experiments

1 
20140428 
1.51MB 
48  
0 

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

1 
20140428 
240.55kB 
45  1+ 
0 

Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization

1 
20140428 
2.91MB 
53  
0 

Information Rates of Nonparametric Gaussian Process Methods

1 
20140428 
198.20kB 
41  1+ 
0 

Information Bottleneck for Gaussian Variables

1 
20140428 
518.38kB 
39  
0 

Infinite Limits For Tikhonov Regularization

1 
20140428 
223.74kB 
41  1+ 
0 

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

1 
20140428 
258.89kB 
47  2+ 
0 

Inducing TreeSubstitution Grammars

1 
20140428 
1.12MB 
61  
0 

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

1 
20140428 
249.82kB 
37  1+ 
0 

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

1 
20140428 
259.91kB 
47  1+ 
0 

Incremental Sigmoid Belief Networks for Grammar Learning

1 
20140428 
252.38kB 
55  1+ 
0 

Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming

1 
20140428 
275.99kB 
54  1+ 
0 

Incremental Algorithms for Hierarchical Classification

1 
20140428 
183.49kB 
46  1+ 
0 

Incorporating Functional Knowledge in Neural Networks

1 
20140428 
181.14kB 
60  1+ 
0 

In Search of NonGaussian Components of a HighDimensional Distribution

1 
20140428 
1.28MB 
60  
0 

In Defense of OneVsAll Classification

1 
20140428 
73.11kB 
46  1+ 
0 

In All Likelihood, Deep Belief Is Not Enough

1 
20140428 
447.32kB 
64  1+ 
0 

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

1 
20140428 
325.20kB 
47  1+ 
0 

Improving CUR Matrix Decomposition and the Nystrom Approximation via Adaptive Sampling

1 
20140428 
691.67kB 
41  
0 

Improved Moves for Truncated Convex Models

1 
20140428 
526.60kB 
40  
0 

Importance Sampling for Continuous Time Bayesian Networks

1 
20140428 
246.97kB 
74  1+ 
0 

Image Denoising with Kernels Based on Natural Image Relations

1 
20140428 
1.77MB 
70  3+ 
0 

Image Categorization by Learning and Reasoning with Regions

1 
20140428 
149.86kB 
48  1+ 
0 

ILP: A Short Look Back and a Longer Look Forward

1 
20140428 
11.60kB 
59  1+ 
0 

Identification of Recurrent Neural Networks by Bayesian Interrogation Techniques

1 
20140428 
878.32kB 
95  
1 

ICA Using Spacings Estimates of Entropy

1 
20140428 
534.27kB 
49  
0 

ICA for Watermarking Digital Images

1 
20140428 
3.44MB 
54  
0 

HyperSparse Optimal Aggregation

1 
20140428 
900.66kB 
49  
0 

Hybrid MPIOpenMP Parallel Linear Support Vector Machine Training

1 
20140428 
133.81kB 
48  1+ 
0 

Hubs in Space: Popular Nearest Neighbors in HighDimensional Data

1 
20140428 
1.09MB 
48  
0 

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

1 
20140428 
306.21kB 
33  1+ 
0 

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

1 
20140428 
1.19MB 
53  
0 

How to Explain Individual Classification Decisions

1 
20140428 
1.64MB 
41  
0 

Hit Miss Networks with Applications to Instance Selection

1 
20140428 
195.86kB 
48  1+ 
0 

Hilbert Space Embeddings and Metrics on Probability Measures

1 
20140428 
530.50kB 
48  
0 

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

1 
20140428 
205.18kB 
50  1+ 
0 

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

1 
20140428 
380.31kB 
49  1+ 
0 

Highdimensional Covariance Estimation Based On Gaussian Graphical Models

1 
20140428 
735.00kB 
47  
0 

Hierarchical Knowledge Gradient for Sequential Sampling

1 
20140428 
594.38kB 
49  
0 

Hierarchical Average Reward Reinforcement Learning

1 
20140428 
332.69kB 
41  1+ 
0 

Hash Kernels for Structured Data

1 
20140428 
260.30kB 
54  3+ 
0 

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

1 
20140428 
302.31kB 
53  1+ 
0 

Handling Missing Values when Applying Classification Models

1 
20140428 
389.65kB 
48  1+ 
0 

GURLS: A Least Squares Library for Supervised Learning

1 
20140428 
76.03kB 
59  1+ 
0 

Group Lasso Estimation of Highdimensional Covariance Matrices

1 
20140428 
354.44kB 
40  1+ 
0 

Greedy SparsityConstrained Optimization

1 
20140428 
362.50kB 
52  1+ 
0 

Greedy Feature Selection for Subspace Clustering

1 
20140428 
956.72kB 
47  
0 

Greedy Algorithms for Classification  Consistency, Convergence Rates, and Adaptivity

1 
20140428 
245.62kB 
81  1+ 
0 

Graphical Models for Structured Classification, with an Application to Interpreting Images of Protein Subcellular Location Patterns

1 
20140428 
162.58kB 
50  1+ 
0 

Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models

1 
20140428 
246.47kB 
40  1+ 
0 

GraphBased Hierarchical Conceptual Clustering

1 
20140428 
207.11kB 
47  1+ 
0 

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

1 
20140428 
2.91MB 
47  
0 

Graph Kernels

1 
20140428 
1.56MB 
58  
0 

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

1 
20140428 
253.43kB 
69  3+ 
0 

Gradient Tree Boosting for Training Conditional Random Fields

1 
20140428 
2.50MB 
52  
0 

GPstuff: Bayesian Modeling with Gaussian Processes

1 
20140428 
74.12kB 
44  1+ 
0 

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

1 
20140428 
43.28kB 
48  
0 

Global Analytic Solution of Fullyobserved Variational Bayesian Matrix Factorization

1 
20140428 
507.62kB 
49  
0 

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

1 
20140428 
817.86kB 
44  
0 

Generalized TD Learning

1 
20140428 
400.39kB 
43  1+ 
0 

Generalized SpikeandSlab Priors for Bayesian Group Feature Selection Using Expectation Propagation

1 
20140428 
1.66MB 
44  
0 

Generalized Power Method for Sparse Principal Component Analysis

1 
20140428 
303.39kB 
58  1+ 
0 

Generalized Expectation Criteria for SemiSupervised Learning with Weakly Labeled Data

1 
20140428 
682.23kB 
68  
0 

Generalized BradleyTerry Models and MultiClass Probability Estimates

1 
20140428 
402.41kB 
41  1+ 
0 

Generalization from Observed to Unobserved Features by Clustering

1 
20140428 
133.38kB 
40  1+ 
0 

Generalization Error Bounds for Bayesian Mixture Algorithms

1 
20140428 
160.18kB 
46  1+ 
0 

Generalization Bounds for the Area Under the ROC Curve

1 
20140428 
259.60kB 
47  1+ 
0 

Generalization Bounds for Ranking Algorithms via Algorithmic Stability

1 
20140428 
262.74kB 
61  1+ 
0 

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

1 
20140428 
154.04kB 
57  1+ 
0 

Gaussian Processes for Ordinal Regression

1 
20140428 
269.26kB 
42  1+ 
0 

Gaussian Processes for Machine Learning (GPML) Toolbox

1 
20140428 
55.05kB 
67  1+ 
0 

Gaussian KullbackLeibler Approximate Inference

1 
20140428 
922.45kB 
50  
0 

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

1 
20140428 
256.29kB 
55  1+ 
0 

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

1 
20140428 
163.17kB 
44  1+ 
0 

Frames, Reproducing Kernels, Regularization and Learning

1 
20140428 
338.35kB 
38  1+ 
0 

Fourier Theoretic Probabilistic Inference over Permutations

1 
20140428 
696.98kB 
34  
0 

Forest Density Estimation

1 
20140428 
809.73kB 
57  
0 

Forecasting Web Page Views: Methods and Observations

1 
20140428 
2.50MB 
66  
0 

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

1 
20140428 
360.76kB 
57  1+ 
0 

FiniteTime Bounds for Fitted Value Iteration

1 
20140428 
54.73kB 
45  1+ 
0 

FiniteSample Analysis of LeastSquares Policy Iteration

1 
20140428 
290.03kB 
48  1+ 
0 

Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling

1 
20140428 
186.16kB 
61  1+ 
0 

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

1 
20140428 
982.84kB 
61  
0 

Finding Optimal Bayesian Networks Using Precedence Constraints

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20140428 
343.11kB 
48  1+ 
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Finding Optimal Bayesian Network Given a SuperStructure

1 
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356.67kB 
47  1+ 
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Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination(Special Topic on Model Selection)

1 
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200.94kB 
47  1+ 
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Feature Selection via Dependence Maximization

1 
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1.55MB 
87  1+ 
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Feature Selection for Unsupervised Learning

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317.56kB 
48  1+ 
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Feature Selection for Unsupervised and Supervised Inference: The Emergence of Sparsity in a WeightBased Approach

1 
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402.63kB 
46  1+ 
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Feature Discovery in NonMetric Pairwise Data

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255.36kB 
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FastInf: An Efficient Approximate Inference Library

1 
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32.60kB 
58  
1 

Faster Algorithms for MaxProduct MessagePassing

1 
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1.12MB 
47  
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Fast String Kernels using Inexact Matching for Protein Sequences

1 
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142.59kB 
59  1+ 
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Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problems (Special Topic on Machine Learning and Optimization)

1 
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1.04MB 
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Fast MCMC Sampling for Markov Jump Processes and Extensions

1 
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393.64kB 
44  1+ 
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Fast Kernel Classifiers with Online and Active Learning

1 
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507.26kB 
47  
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Fast Iterative Kernel Principal Component Analysis

1 
20140428 
3.19MB 
47  
0 

Fast Generalized Subset Scan for Anomalous Pattern Detection

1 
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2.76MB 
51  
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Fast Approximation of Matrix Coherence and Statistical Leverage

1 
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285.26kB 
42  1+ 
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Fast Approximate kNN Graph Construction for High Dimensional Data via Recursive Lanczos Bisection

1 
20140428 
3.24MB 
50  
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Fast and Scalable Local Kernel Machines

1 
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425.91kB 
69  1+ 
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Facilitating Score and Causal Inference Trees for Large Observational Studies

1 
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355.27kB 
68  1+ 
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Extensions to MetricBased Model Selection

1 
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657.99kB 
53  
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Exponentiated Gradient Algorithms for Conditional Random Fields and MaxMargin Markov Networks

1 
20140428 
252.23kB 
47  1+ 
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Exploring Strategies for Training Deep Neural Networks

1 
20140428 
973.02kB 
145  
1 

Exploration in Relational Domains for Modelbased Reinforcement Learning

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697.87kB 
51  
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Exploiting Product Distributions to Identify Relevant Variables of Correlation Immune Functions

1 
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314.36kB 
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Exploiting BestMatch Equations for Efficient Reinforcement Learning

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495.83kB 
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Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation

1 
20140428 
1.45MB 
63  
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Experiment Selection for Causal Discovery

1 
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1.27MB 
38  
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Expectation Truncation and the Benefits of Preselection In Training Generative Models

1 
20140428 
1.44MB 
53  
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Expectation Consistent Approximate Inference

1 
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284.26kB 
44  1+ 
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Exact Simplification of Support Vector Solutions (Kernel Machines Section)

1 
20140428 
332.06kB 
45  1+ 
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Exact Covariance Thresholding into Connected Components for LargeScale Graphical Lasso

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911.77kB 
50  
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Exact Bayesian Structure Discovery in Bayesian Networks

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173.90kB 
54  1+ 
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Evolving Static Representations for Task Transfer

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9.96MB 
48  1+ 
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Evolutionary Model Type Selection for Global Surrogate Modeling

1 
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1.28MB 
54  
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Evolutionary Function Approximation for Reinforcement Learning

1 
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1.55MB 
48  
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Evidence Contrary to the Statistical View of Boosting

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973.13kB 
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Euclidean Embedding of Cooccurrence Data

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908.31kB 
46  
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Estimation of Sparse Binary Pairwise Markov Networks using Pseudolikelihoods

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243.92kB 
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Estimation of Gradients and Coordinate Covariation in Classification

1 
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317.44kB 
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Estimation of a Structural Vector Autoregression Model Using NonGaussianity

1 
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502.65kB 
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Estimation and Selection via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications

1 
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264.28kB 
48  1+ 
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Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers

1 
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449.20kB 
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Estimating Labels from Label Proportions

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390.11kB 
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Estimating HighDimensional Directed Acyclic Graphs with the PCAlgorithm

1 
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199.05kB 
43  1+ 
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Estimating Functions for Blind Separation When Sources Have Variance Dependencies

1 
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658.28kB 
56  
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ErrorCorrecting Output Codes Library

1 
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95.19kB 
42  
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Erratum: SGDQN is Less Careful than Expected

1 
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998.43kB 
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EPGIG Priors and Applications in Bayesian Sparse Learning

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1.23MB 
49  
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Entropy Search for InformationEfficient Global Optimization

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891.10kB 
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Entropy Inference and the JamesStein Estimator, with Application to Nonlinear Gene Association Networks

1 
20140428 
147.29kB 
45  1+ 
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EnergyBased Models for Sparse Overcomplete Representations

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218.01kB 
49  1+ 
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Eliminating Spammers and Ranking Annotators for Crowdsourced Labeling Tasks

1 
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449.19kB 
71  1+ 
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Efficient SVM Training Using LowRank Kernel Representations (Kernel Machines Section)

1 
20140428 
463.05kB 
45  
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Efficient Structure Learning of Bayesian Networks using Constraints

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215.95kB 
46  1+ 
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Efficient Program Synthesis Using Constraint Satisfaction in Inductive Logic Programming

1 
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278.96kB 
47  1+ 
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Efficient Online and Batch Learning Using Forward Backward Splitting

1 
20140428 
514.50kB 
44  
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Efficient Methods for Robust Classification Under Uncertainty in Kernel Matrices

1 
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395.10kB 
51  1+ 
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Efficient Margin Maximizing with Boosting

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605.34kB 
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Efficient Learning with Partially Observed Attributes

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187.32kB 
45  1+ 
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Efficient Learning of Label Ranking by Soft Projections onto Polyhedra (Special Topic on Machine Learning and Optimization)

1 
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572.89kB 
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Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers

1 
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649.08kB 
62  
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Efficient Feature Selection via Analysis of Relevance and Redundancy

1 
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221.16kB 
50  1+ 
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Efficient Computation of Gapped Substring Kernels on Large Alphabets

1 
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254.61kB 
39  1+ 
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Efficient and Effective Visual Codebook Generation Using Additive Kernels

1 
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165.80kB 
43  2+ 
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Efficient Algorithms for Universal Portfolios

1 
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358.86kB 
48  1+ 
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Efficient Algorithms for Decision Tree Crossvalidation

1 
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1.01MB 
64  
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Efficient Algorithms for Conditional Independence Inference

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218.06kB 
49  1+ 
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Efficient Active Learning of Halfspaces: An Aggressive Approach

1 
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2.89MB 
47  
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Dynamics and Generalization Ability of LVQ Algorithms

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608.48kB 
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Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts

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490.17kB 
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Dynamic Policy Programming

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360.04kB 
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Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction

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441.50kB 
57  1+ 
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Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data

1 
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259.93kB 
51  1+ 
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Dynamic AffineInvariant ShapeAppearance Handshape Features and Classification in Sign Language Videos

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3.98MB 
48  
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Double Updating Online Learning

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302.62kB 
52  1+ 
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Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets

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427.93kB 
47  1+ 
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Divvy: Fast and Intuitive Exploratory Data Analysis

1 
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276.72kB 
64  1+ 
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Distributions of Angles in Random Packing on Spheres

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276.01kB 
49  1+ 
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Distributional Word Clusters vs. Words for Text Categorization (Kernel Machines Section)

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140.10kB 
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Distributional Scaling: An Algorithm for StructurePreserving Embedding of Metric and Nonmetric Spaces

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563.08kB 
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DistributionDependent Sample Complexity of Large Margin Learning

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335.74kB 
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Distributed Algorithms for Topic Models

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332.89kB 
50  2+ 
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DistanceBased Classification with Lipschitz Functions (Special Topic on Learning Theory)

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153.01kB 
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Distance Metric Learning with Eigenvalue Optimization

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238.08kB 
48  1+ 
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Distance Metric Learning for Large Margin Nearest Neighbor Classification

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1.98MB 
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Distance Dependent Chinese Restaurant Processes

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1.96MB 
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Discriminative Learning Under Covariate Shift

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165.70kB 
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Discriminative Learning of MaxSum Classifiers

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1.53MB 
42  
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Discriminative Learning of Bayesian Networks via Factorized Conditional LogLikelihood

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447.14kB 
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Discriminative Hierarchical Partbased Models for Human Parsing and Action Recognition

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9.09MB 
53  1+ 
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Dirichlet Process Mixtures of Generalized Linear Models

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2.93MB 
44  
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DirectLiNGAM: A Direct Method for Learning a Linear NonGaussian Structural Equation Model

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934.53kB 
48  
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Dimensionality Reduction via Sparse Support Vector Machines (Kernel Machines Section)

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200.16kB 
41  1+ 
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Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces

1 
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340.16kB 
53  1+ 
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Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting

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662.38kB 
57  
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Dimension Reduction in Text Classification with Support Vector Machines

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107.39kB 
51  
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Dimension Independent Similarity Computation

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190.02kB 
43  1+ 
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Diffusion Kernels on Statistical Manifolds

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1.34MB 
43  
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Differentially Private Empirical Risk Minimization

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339.06kB 
41  1+ 
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Differential Privacy for Functions and Functional Data

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314.75kB 
45  1+ 
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Deterministic Error Analysis of Support Vector Regression and Related Regularized Kernel Methods

1 
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163.77kB 
46  1+ 
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Designing Committees of Models through Deliberate Weighting of Data Points

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237.35kB 
64  1+ 
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Derivative Estimation with Local Polynomial Fitting

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590.78kB 
10  
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Dependency Networks for Inference, Collaborative Filtering, and Data Visualization

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294.25kB 
49  1+ 
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Denoising Source Separation

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1.95MB 
40  
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DEAP: Evolutionary Algorithms Made Easy

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302.54kB 
84  1+ 
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Datadriven Calibration of Penalties for LeastSquares Regression

1 
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262.75kB 
45  1+ 
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Datadependent marginbased generalization bounds for classification

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298.60kB 
51  1+ 
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Cumulative Distribution Networks and the Derivativesumproduct Algorithm: Models and Inference for Cumulative Distribution Functions on Graphs

1 
20140428 
2.03MB 
63  
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Covariate Shift Adaptation by Importance Weighted Cross Validation

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273.84kB 
37  1+ 
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Covariance in Unsupervised Learning of Probabilistic Grammars

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383.37kB 
52  1+ 
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Coupled Clustering: A Method for Detecting Structural Correspondence

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111.02kB 
75  2+ 
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Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising

1 
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1.39MB 
58  
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Core Vector Machines: Fast SVM Training on Very Large Data Sets

1 
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417.31kB 
64  1+ 
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Convex and Scalable Weakly Labeled SVMs

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1.03MB 
51  
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Convex and Network Flow Optimization for Structured Sparsity

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763.93kB 
50  
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Convergence Theorems for Generalized Alternating Minimization Procedures

1 
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170.83kB 
47  1+ 
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Controlling the False Discovery Rate of the AssociationCausality Structure Learned with the PC Algorithm(Special Topic on Mining and Learning with Graphs and Relations)

1 
20140428 
469.20kB 
37  
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Continuous Time Bayesian Network Reasoning and Learning Engine

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34.13kB 
70  1+ 
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Construction of Approximation Spaces for Reinforcement Learning

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778.55kB 
48  
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Consistent Selection of Tuning Parameters via Variable Selection Stability

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251.37kB 
46  1+ 
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Consistent Nonparametric Tests of Independence

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369.96kB 
48  1+ 
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Consistent Model Selection Criteria on High Dimensions

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147.59kB 
44  1+ 
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Consistent Feature Selection for Pattern Recognition in Polynomial Time

1 
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362.46kB 
45  1+ 
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Consistency of Trace Norm Minimization

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168.85kB 
48  1+ 
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Consistency of Random Forests and Other Averaging Classifiers

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235.86kB 
51  1+ 
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Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss

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122.78kB 
38  1+ 
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Consistency and Localizability

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223.51kB 
39  1+ 
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Consistency and Convergence Rates of OneClass SVMs and Related Algorithms

1 
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258.63kB 
45  1+ 
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Considering Cost Asymmetry in Learning Classifiers

1 
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355.12kB 
38  1+ 
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ConsensusBased Distributed Support Vector Machines

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1.06MB 
48  
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Conjugate Relation between Loss Functions and Uncertainty Sets in Classification Problems

1 
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535.15kB 
61  
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ConfidenceWeighted Linear Classification for Text Categorization

1 
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2.04MB 
59  
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Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection

1 
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706.10kB 
60  
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Concentration Inequalities for the Missing Mass and for Histogram Rule Error

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323.71kB 
45  1+ 
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Concentration Bounds for Unigram Language Models

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219.42kB 
41  1+ 
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Concave Learners for Rankboost

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170.76kB 
42  1+ 
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Computing Maximum Likelihood Estimates in Recursive Linear Models with Correlated Errors

1 
20140428 
174.47kB 
62  1+ 
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Computationally Efficient Convolved Multiple Output Gaussian Processes

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20140428 
646.80kB 
45  
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Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant Analysis

1 
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156.31kB 
53  1+ 
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Computable Shell Decomposition Bounds

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226.90kB 
50  1+ 
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Composite Binary Losses

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706.13kB 
48  
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Complete Identification Methods for the Causal Hierarchy(Special Topic on Causality)

1 
20140428 
495.05kB 
48  
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CommunicationEfficient Algorithms for Statistical Optimization

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381.05kB 
57  1+ 
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Comments on the Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion

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439.54kB 
57  1+ 
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Comments on the "Core Vector Machines: Fast SVM Training on Very Large Data Sets"

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131.09kB 
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Comment on "Robustness and Regularization of Support Vector Machines" by H. Xu et al. (Journal of Machine Learning Research, vol. 10, pp. 14851510, 2009)

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41.09kB 
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Combining PACBayesian and Generic Chaining Bounds

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237.12kB 
44  1+ 
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Combining Knowledge from Different Sources in Causal Probabilistic Models

1 
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152.73kB 
52  1+ 
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Combining Information Extraction Systems Using Voting and Stacked Generalization

1 
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407.66kB 
55  1+ 
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Collective Inference for Extraction MRFs Coupled with Symmetric Clique Potentials

1 
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465.78kB 
45  
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Collaborative Multiagent Reinforcement Learning by Payoff Propagation

1 
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521.27kB 
50  
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Coherence Functions with Applications in LargeMargin Classification Methods

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345.58kB 
40  1+ 
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CODA: High Dimensional Copula Discriminant Analysis

1 
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399.30kB 
49  1+ 
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Clustering with Bregman Divergences

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342.74kB 
39  1+ 
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Clustering on the Unit Hypersphere using von MisesFisher Distributions

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295.34kB 
40  1+ 
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Cluster Ensembles  A Knowledge Reuse Framework for Combining Multiple Partitions

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29.62kB 
52  2+ 
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Cluster Analysis: Unsupervised Learning via Supervised Learning with a Nonconvex Penalty

1 
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240.33kB 
63  1+ 
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Closed Sets for Labeled Data

1 
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546.17kB 
43  
0 

Classifying With Confidence From Incomplete Information

1 
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1.09MB 
48  
0 

Classifier Selection using the Predicate Depth

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243.22kB 
48  1+ 
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Classification with Incomplete Data Using Dirichlet Process Priors

1 
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1.18MB 
43  
0 

Classification with Gaussians and Convex Loss

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188.00kB 
40  1+ 
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Classification with a Reject Option using a Hinge Loss

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299.31kB 
51  1+ 
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Classification Using Geometric Level Sets

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1.04MB 
50  
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Classification Methods with Reject Option Based on Convex Risk Minimization

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123.29kB 
48  1+ 
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Classification in Networked Data: A Toolkit and a Univariate Case Study

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452.34kB 
46  1+ 
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Chromatic PACBayes Bounds for NonIID Data: Applications to Ranking and Stationary Mixing Processes

1 
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237.71kB 
52  1+ 
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Characterizing the Function Space for Bayesian Kernel Models

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228.85kB 
46  1+ 
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Characterization, Stability and Convergence of Hierarchical Clustering Methods

1 
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857.23kB 
51  
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Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs

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1.84MB 
47  
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Change Point Problems in Linear Dynamical Systems

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230.78kB 
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Cautious Collective Classification

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525.68kB 
47  
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Causal Reasoning with Ancestral Graphs(Special Topic on Causality)

1 
20140428 
728.93kB 
50  
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Causal Graph Based Decomposition of Factored MDPs

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305.91kB 
51  1+ 
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CarpeDiem: Optimizing the Viterbi Algorithm and Applications to Supervised Sequential Learning

1 
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1.15MB 
47  
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CARP: Software for Fishing Out Good Clustering Algorithms

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584.44kB 
50  
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Bundle Methods for Regularized Risk Minimization

1 
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1.84MB 
48  
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Building Support Vector Machines with Reduced Classifier Complexity (Special Topic on Machine Learning and Optimization)

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244.17kB 
60  1+ 
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Building Blocks for Variational Bayesian Learning of Latent Variable Models

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426.83kB 
49  1+ 
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BudgetedSVM: A Toolbox for Scalable SVM Approximations

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74.78kB 
39  1+ 
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Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for LargeScale SVM Training

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304.58kB 
48  1+ 
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Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation

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266.31kB 
47  1+ 
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Bounding the Probability of Error for High Precision Optical Character Recognition

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698.79kB 
62  
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Bounded KernelBased Online Learning

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429.45kB 
52  1+ 
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Bouligand Derivatives and Robustness of Support Vector Machines for Regression

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531.56kB 
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BottomUp Relational Learning of Pattern Matching Rules for Information Extraction

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184.33kB 
60  1+ 
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Boosting as a Regularized Path to a Maximum Margin Classifier

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1.26MB 
54  
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Boosted Classification Trees and Class ProbabilityQuantile Estimation

1 
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989.97kB 
48  
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Blind Source Separation via Generalized Eigenvalue Decomposition

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546.79kB 
53  
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Blind Source Recovery: A Framework in the State Space

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196.76kB 
48  1+ 
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Blind Separation of Postnonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation

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918.89kB 
54  
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Bilinear Discriminant Component Analysis

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669.21kB 
55  
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BiasVariance Analysis of Support Vector Machines for the Development of SVMBased Ensemble Methods

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345.18kB 
47  1+ 
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Beyond Independent Components: Trees and Clusters

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239.11kB 
49  1+ 
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Beyond Fano's Inequality: Bounds on the Optimal FScore, BER, and CostSensitive Risk and Their Implications

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542.56kB 
53  
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Better Algorithms for Benign Bandits

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186.30kB 
44  1+ 
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Benefitting from the Variables that Variable Selection Discards

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176.22kB 
42  1+ 
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Belief Propagation for Continuous State Spaces: Stochastic MessagePassing with Quantitative Guarantees

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519.90kB 
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Behavioral Shaping for Geometric Concepts

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234.07kB 
47  1+ 
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Bayesian Quadratic Discriminant Analysis

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196.90kB 
42  1+ 
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Bayesian Nonparametric Hidden SemiMarkov Models

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586.13kB 
69  
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Bayesian Network Structure Learning by Recursive Autonomy Identification

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532.30kB 
51  
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Bayesian Network Learning with Parameter Constraints (Special Topic on Machine Learning and Optimization)

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259.55kB 
62  1+ 
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Bayesian MixedEffects Inference on Classification Performance in Hierarchical Data Sets

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1.70MB 
69  
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Bayesian Learning in Sparse Graphical Factor Models via Variational MeanField Annealing

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3.36MB 
54  
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Bayesian Inference and Optimal Design for the Sparse Linear Model

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448.97kB 
182  3+ 
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Bayesian Generalized Kernel Mixed Models

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340.76kB 
48  1+ 
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Bayesian CoTraining

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377.65kB 
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Bayesian Canonical Correlation Analysis

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515.47kB 
55  
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Bayes Point Machines (Kernel Machines Section)

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977.43kB 
50  
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Automatic PCA Dimension Selection for High Dimensional Data and Small Sample Sizes

1 
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3.72MB 
48  
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Asymptotics in Empirical Risk Minimization

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150.53kB 
43  1+ 
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Asymptotic Model Selection for Naive Bayesian Networks

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1.08MB 
43  
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Assessing Approximate Inference for Binary Gaussian Process Classification

1 
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483.69kB 
46  
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Approximations for Binary Gaussian Process Classification

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62.86kB 
52  1+ 
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Approximating the Permanent with Fractional Belief Propagation

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4.16MB 
50  
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Approximate Tree Kernels

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373.35kB 
43  1+ 
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Approximate Riemannian Conjugate Gradient Learning for FixedForm Variational Bayes

1 
20140428 
553.64kB 
52  
0 

Approximate Marginals in Latent Gaussian Models

1 
20140428 
3.57MB 
44  
0 

Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation

1 
20140428 
339.80kB 
58  1+ 
0 

Application of Non Parametric Empirical Bayes Estimation to High Dimensional Classification

1 
20140428 
140.39kB 
35  
0 

Anytime Learning of Decision Trees

1 
20140428 
364.51kB 
55  1+ 
0 

Anechoic Blind Source Separation Using Wigner Marginals

1 
20140428 
773.75kB 
56  
0 

Analysis of Variance of CrossValidation Estimators of the Generalization Error

1 
20140428 
294.94kB 
41  1+ 
0 

Analysis of PerceptronBased Active Learning

1 
20140428 
176.01kB 
53  1+ 
0 

An MDPBased Recommender System

1 
20140428 
569.22kB 
76  
1 

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

1 
20140428 
408.00kB 
52  1+ 
0 

An Introduction to Variable and Feature Selection (Kernel Machines Section)

1 
20140428 
763.45kB 
64  1+ 
0 

An Introduction to Artificial Prediction Markets for Classification

1 
20140428 
382.03kB 
133  3+ 
0 

An InteriorPoint Method for LargeScale l1Regularized Logistic Regression

1 
20140428 
910.98kB 
54  
0 

An Information Criterion for Variable Selection in Support Vector Machines(Special Topic on Model Selection)

1 
20140428 
764.43kB 
50  
0 

An Improved GLMNET for L1regularized Logistic Regression

1 
20140428 
549.24kB 
66  2+ 
0 

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

1 
20140428 
343.90kB 
52  1+ 
0 

An Exponential Model for Infinite Rankings

1 
20140428 
392.92kB 
51  1+ 
0 

An Error Bound Based on a Worst Likely Assignment

1 
20140428 
163.13kB 
40  1+ 
0 

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

1 
20140428 
97.69kB 
45  
0 

An Efficient Explanation of Individual Classifications using Game Theory

1 
20140428 
690.80kB 
89  
1 

An Efficient Boosting Algorithm for Combining Preferences

1 
20140428 
208.76kB 
42  1+ 
0 

An Approximate Analytical Approach to Resampling Averages (Kernel Machines Section)

1 
20140428 
3.16MB 
52  
0 

An Anticorrelation Kernel for Subsystem Training in Multiple Classifier Systems

1 
20140428 
560.99kB 
45  
0 

An Analysis of Convex Relaxations for MAP Estimation of Discrete MRFs

1 
20140428 
827.67kB 
49  
0 

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

1 
20140428 
190.69kB 
43  1+ 
0 

Alleviating Naive Bayes Attribute Independence Assumption by Attribute Weighting

1 
20140428 
442.45kB 
47  1+ 
0 

Algorithms for Sparse Linear Classifiers in the Massive Data Setting

1 
20140428 
386.10kB 
60  1+ 
0 

Algorithms for Learning Kernels Based on Centered Alignment

1 
20140428 
266.60kB 
58  1+ 
0 

Algorithms for Discovery of Multiple Markov Boundaries

1 
20140428 
831.15kB 
52  
0 

Algorithms and Hardness Results for Parallel Large Margin Learning

1 
20140428 
222.17kB 
49  1+ 
0 

Algorithmic Luckiness

1 
20140428 
414.67kB 
50  1+ 
0 

Algebraic Geometric Comparison of Probability Distributions

1 
20140428 
534.83kB 
54  
0 

Aggregation of SVM Classifiers Using Sobolev Spaces

1 
20140428 
197.61kB 
50  1+ 
0 

Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

1 
20140428 
307.88kB 
51  1+ 
0 

Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies

1 
20140428 
389.20kB 
63  1+ 
0 

Adaptive Online Prediction by Following the Perturbed Leader

1 
20140428 
191.61kB 
45  1+ 
0 

Adaptive False Discovery Rate Control under Independence and Dependence

1 
20140428 
364.22kB 
42  1+ 
0 

Adaptive Exact Inference in Graphical Models

1 
20140428 
644.27kB 
44  
0 

AdaBoost is Consistent

1 
20140428 
184.12kB 
50  1+ 
0 

Active Learning with Feedback on Features and Instances

1 
20140428 
386.12kB 
54  1+ 
0 

Active Learning via Perfect Selective Classification

1 
20140428 
194.66kB 
53  1+ 
0 

Active Learning to Recognize Multiple Types of Plankton

1 
20140428 
216.98kB 
52  1+ 
0 

Active Learning of Causal Networks with Intervention Experiments and Optimal Designs(Special Topic on Causality)

1 
20140428 
233.01kB 
47  1+ 
0 

Active Learning by Spherical Subdivision

1 
20140428 
560.53kB 
45  
0 

Active Coevolutionary Learning of Deterministic Finite Automata

1 
20140428 
238.25kB 
52  1+ 
0 

Active Clustering of Biological Sequences

1 
20140428 
332.47kB 
62  1+ 
0 

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

1 
20140428 
206.08kB 
37  1+ 
0 

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

1 
20140428 
399.65kB 
85  1+ 
0 

A Unifying View of Sparse Approximate Gaussian Process Regression

1 
20140428 
254.63kB 
42  1+ 
0 

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

1 
20140428 
563.39kB 
63  
0 

A Unified Framework for Modelbased Clustering

1 
20140428 
338.53kB 
44  1+ 
0 

A Tutorial on Conformal Prediction

1 
20140428 
75.34kB 
56  
0 

A Topic Modeling Toolbox Using Belief Propagation

1 
20140428 
61.47kB 
52  1+ 
0 

A Theory of Multiclass Boosting

1 
20140428 
2.96MB 
55  
0 

A Survey of Accuracy Evaluation Metrics of Recommendation Tasks

1 
20140428 
267.62kB 
46  1+ 
0 

A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design

1 
20140428 
323.66kB 
45  1+ 
0 

A Streaming Parallel Decision Tree Algorithm

1 
20140428 
512.65kB 
66  
0 

A Stochastic Algorithm for Feature Selection in Pattern Recognition

1 
20140428 
438.67kB 
121  1+ 
0 

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

1 
20140428 
219.60kB 
55  1+ 
0 

A Rotation Test to Verify Latent Structure

1 
20140428 
291.84kB 
49  1+ 
0 

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

1 
20140428 
685.16kB 
44  
0 

A Robust Minimax Approach to Classification

1 
20140428 
523.76kB 
52  
0 

A Risk Comparison of Ordinary Least Squares vs Ridge Regression

1 
20140428 
189.76kB 
64  1+ 
0 

A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin

1 
20140428 
244.70kB 
45  1+ 
0 

A Recursive Method for Structural Learning of Directed Acyclic Graphs

1 
20140428 
986.24kB 
57  
0 

A QuasiNewton Approach to Nonsmooth Convex Optimization Problems in Machine Learning

1 
20140428 
1.32MB 
62  
0 

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

1 
20140428 
192.02kB 
45  1+ 
0 

A Nonparametric Statistical Approach to Clustering via Mode Identification

1 
20140428 
665.62kB 
64  
0 

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

1 
20140428 
1.13MB 
42  
0 

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

1 
20140428 
242.08kB 
47  1+ 
0 

A New Algorithm for Estimating the Effective DimensionReduction Subspace

1 
20140428 
292.05kB 
53  1+ 
0 

A Neural Probabilistic Language Model

1 
20140428 
242.24kB 
114  1+ 
0 

A NearOptimal Algorithm for DifferentiallyPrivate Principal Components

1 
20140428 
424.73kB 
47  1+ 
0 

A Multiscale Framework For Blind Separation of Linearly Mixed Signals

1 
20140428 
3.36MB 
48  
0 

A Multiple Instance Learning Strategy for Combating Good Word Attacks on Spam Filters

1 
20140428 
281.48kB 
41  1+ 
0 

A MultiStage Framework for Dantzig Selector and LASSO

1 
20140428 
246.48kB 
42  1+ 
0 

A Moment Bound for Multihinge Classifiers

1 
20140428 
4.12MB 
46  
0 

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

1 
20140428 
157.28kB 
51  1+ 
0 

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

1 
20140428 
1.68MB 
117  
1 

A Maximum Likelihood Approach to Singlechannel Source Separation

1 
20140428 
738.33kB 
45  
0 

A MaxNorm Constrained Minimization Approach to 1Bit Matrix Completion

1 
20140428 
269.06kB 
40  1+ 
0 

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

1 
20140428 
968.87kB 
63  
0 

A Linear NonGaussian Acyclic Model for Causal Discovery

1 
20140428 
417.28kB 
47  1+ 
0 

A Leastsquares Approach to Direct Importance Estimation

1 
20140428 
849.23kB 
52  
0 

A Kernel TwoSample Test

1 
20140428 
479.88kB 
221  
1 

A Hierarchy of Support Vector Machines for Pattern Detection

1 
20140428 
1.65MB 
48  
0 

A Graphical Representation of Equivalence Classes of AMP Chain Graphs

1 
20140428 
308.10kB 
47  1+ 
0 

A Geometric Approach to Sample Compression

1 
20140428 
501.02kB 
65  2+ 
0 

A Geometric Approach to MultiCriterion Reinforcement Learning

1 
20140428 
309.35kB 
71  1+ 
0 

A Generative Model for Separating Illumination and Reflectance from Images

1 
20140428 
511.41kB 
50  
0 

A Generalized Path Integral Control Approach to Reinforcement Learning

1 
20140428 
1.09MB 
55  
0 

A Generalized Maximum Entropy Approach to Bregman Coclustering and Matrix Approximation

1 
20140428 
518.05kB 
49  
0 

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

1 
20140428 
451.30kB 
45  1+ 
0 

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

1 
20140428 
401.64kB 
49  1+ 
0 

A Framework for Evaluating Approximation Methods for Gaussian Process Regression

1 
20140428 
331.77kB 
57  1+ 
0 

A Fast Hybrid Algorithm for LargeScale l1Regularized Logistic Regression

1 
20140428 
2.71MB 
54  
0 

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

1 
20140428 
2.34MB 
58  
0 

A Family of Simple NonParametric Kernel Learning Algorithms

1 
20140428 
620.86kB 
58  
0 

A Family of Additive Online Algorithms for Category Ranking

1 
20140428 
418.00kB 
49  1+ 
0 

A Divisive InformationTheoretic Feature Clustering Algorithm for Text Classification (Kernel Machines Section)

1 
20140428 
301.96kB 
45  1+ 
0 

A Direct Method for Building Sparse Kernel Learning Algorithms

1 
20140428 
282.87kB 
51  2+ 
0 

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

1 
20140428 
577.25kB 
55  
0 

A Convergent Online Single Time Scale Actor Critic Algorithm

1 
20140428 
325.61kB 
57  1+ 
0 

A Compression Approach to Support Vector Model Selection

1 
20140428 
1.36MB 
96  
1 

A Comparison of the Lasso and Marginal Regression

1 
20140428 
953.29kB 
50  
0 

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

1 
20140428 
6.47MB 
54  1+ 
0 

A Classification Framework for Anomaly Detection

1 
20140428 
181.54kB 
68  1+ 
0 

A Case Study on MetaGeneralising: A Gaussian Processes Approach

1 
20140428 
390.48kB 
52  1+ 
0 

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

1 
20140428 
70.37kB 
97  1+ 
0 

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

1 
20140428 
207.38kB 
51  1+ 
0 

A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior

1 
20140428 
227.71kB 
50  1+ 
0 

A Bayesian Approximation Method for Online Ranking

1 
20140428 
236.16kB 
58  1+ 
0 

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

1 
20140428 
372.87kB 
56  1+ 
0 

MDPs: Learning in Varying Environments

1 
20140428 
292.58kB 
54  1+ 
0 

"Ideal Parent" Structure Learning for Continuous Variable Bayesian Networks

1 
20140428 
663.20kB 
50  
0 

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

1 
20140428 
262.39kB 
48  1+ 
0 