Journal of Machine Learning Research [RSS] [CSV] curated by henryzlo

Type Name Files Added Size DLs
Robust Submodular Observation Selection 1 2014-04-28 25.34MB 75 1
Nonlinear Boosting Projections for Ensemble Construction 1 2014-04-28 10.52MB 69 0
Optimistic Bayesian Sampling in Contextual-Bandit Problems 1 2014-04-28 9.99MB 822+ 0
Evolving Static Representations for Task Transfer 1 2014-04-28 9.96MB 59 0
Discriminative Hierarchical Part-based Models for Human Parsing and Action Recognition 1 2014-04-28 9.09MB 62 0
Similarity-based Classification: Concepts and Algorithms 1 2014-04-28 8.74MB 106 0
The Pyramid Match Kernel: Efficient Learning with Sets of Features 1 2014-04-28 7.96MB 59 0
Ultraconservative Online Algorithms for Multiclass Problems 1 2014-04-28 6.70MB 79 0
A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification 1 2014-04-28 6.47MB 741+ 0
Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifolds 1 2014-04-28 5.48MB 75 0
Large-scale SVD and Manifold Learning 1 2014-04-28 4.35MB 56 0
Online Learning for Matrix Factorization and Sparse Coding 1 2014-04-28 4.17MB 5,203 0
Approximating the Permanent with Fractional Belief Propagation 1 2014-04-28 4.16MB 61 0
A Moment Bound for Multi-hinge Classifiers 1 2014-04-28 4.12MB 61 0
Parallel Vector Field Embedding 1 2014-04-28 4.10MB 57 0
Towards Integrative Causal Analysis of Heterogeneous Data Sets and Studies 1 2014-04-28 4.05MB 56 0
Dynamic Affine-Invariant Shape-Appearance Handshape Features and Classification in Sign Language Videos 1 2014-04-28 3.98MB 541+ 0
Automatic PCA Dimension Selection for High Dimensional Data and Small Sample Sizes 1 2014-04-28 3.72MB 591+ 0
Approximate Marginals in Latent Gaussian Models 1 2014-04-28 3.57MB 54 0
ICA for Watermarking Digital Images 1 2014-04-28 3.44MB 64 0
Lp-Nested Symmetric Distributions 1 2014-04-28 3.37MB 59 0
Bayesian Learning in Sparse Graphical Factor Models via Variational Mean-Field Annealing 1 2014-04-28 3.36MB 65 0
A Multiscale Framework For Blind Separation of Linearly Mixed Signals 1 2014-04-28 3.36MB 55 0
Robust Principal Component Analysis with Adaptive Selection for Tuning Parameters 1 2014-04-28 3.30MB 572+ 0
Fast Approximate kNN Graph Construction for High Dimensional Data via Recursive Lanczos Bisection 1 2014-04-28 3.24MB 63 0
Fast Iterative Kernel Principal Component Analysis 1 2014-04-28 3.19MB 58 0
Learning Bounded Treewidth Bayesian Networks 1 2014-04-28 3.18MB 66 0
An Approximate Analytical Approach to Resampling Averages (Kernel Machines Section) 1 2014-04-28 3.16MB 632+ 0
A Theory of Multiclass Boosting 1 2014-04-28 2.96MB 1311+ 0
One-shot Learning Gesture Recognition from RGB-D Data Using Bag of Features 1 2014-04-28 2.95MB 66 0
Dirichlet Process Mixtures of Generalized Linear Models 1 2014-04-28 2.93MB 53 0
Relational Dependency Networks 1 2014-04-28 2.92MB 551+ 0
Minimal Nonlinear Distortion Principle for Nonlinear Independent Component Analysis 1 2014-04-28 2.91MB 59 0
Graph Laplacians and their Convergence on Random Neighborhood Graphs (Special Topic on the Conference on Learning Theory 2005) 1 2014-04-28 2.91MB 59 0
Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization 1 2014-04-28 2.91MB 67 0
Efficient Active Learning of Halfspaces: An Aggressive Approach 1 2014-04-28 2.89MB 581+ 0
Locally Defined Principal Curves and Surfaces 1 2014-04-28 2.87MB 53 0
Fast Generalized Subset Scan for Anomalous Pattern Detection 1 2014-04-28 2.76MB 58 0
A Fast Hybrid Algorithm for Large-Scale l1-Regularized Logistic Regression 1 2014-04-28 2.71MB 111 0
Support Vector Machine Soft Margin Classifiers: Error Analysis 1 2014-04-28 2.70MB 75 0
Gradient Tree Boosting for Training Conditional Random Fields 1 2014-04-28 2.50MB 63 0
Forecasting Web Page Views: Methods and Observations 1 2014-04-28 2.50MB 194 0
Provably Efficient Learning with Typed Parametric Models 1 2014-04-28 2.49MB 50 0
Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics 1 2014-04-28 2.44MB 56 0
Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation 1 2014-04-28 2.43MB 67 0
Sign Language Recognition using Sub-Units 1 2014-04-28 2.39MB 68 0
A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation 1 2014-04-28 2.34MB 123 0
Minimax Manifold Estimation 1 2014-04-28 2.33MB 75 0
Logistic Stick-Breaking Process 1 2014-04-28 2.25MB 57 0
Synergistic Face Detection and Pose Estimation with Energy-Based Models 1 2014-04-28 2.24MB 67 0
Stability of Density-Based Clustering 1 2014-04-28 2.21MB 55 0
Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning 1 2014-04-28 2.18MB 57 0
Overlearning in Marginal Distribution-Based ICA: Analysis and Solutions 1 2014-04-28 2.09MB 552+ 0
MAGIC Summoning: Towards Automatic Suggesting and Testing of Gestures With Low Probability of False Positives During Use 1 2014-04-28 2.04MB 74 0
Confidence-Weighted Linear Classification for Text Categorization 1 2014-04-28 2.04MB 69 0
Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Functions on Graphs 1 2014-04-28 2.03MB 103 0
Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds 1 2014-04-28 2.01MB 57 0
Learning Probabilistic Models of Link Structure 1 2014-04-28 1.99MB 71 0
Learning Theory Analysis for Association Rules and Sequential Event Prediction 1 2014-04-28 1.99MB 61 0
Learning Symbolic Representations of Hybrid Dynamical Systems 1 2014-04-28 1.99MB 72 0
Distance Metric Learning for Large Margin Nearest Neighbor Classification 1 2014-04-28 1.98MB 80 0
Distance Dependent Chinese Restaurant Processes 1 2014-04-28 1.96MB 53 0
Denoising Source Separation 1 2014-04-28 1.95MB 46 0
Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part II: Analysis and Extensions 1 2014-04-28 1.94MB 58 0
Learning from Partial Labels 1 2014-04-28 1.91MB 55 0
Learning to Combine Motor Primitives Via Greedy Additive Regression 1 2014-04-28 1.88MB 511+ 0
Learning Non-Stationary Dynamic Bayesian Networks 1 2014-04-28 1.88MB 66 0
Keep It Simple And Sparse: Real-Time Action Recognition 1 2014-04-28 1.87MB 76 0
Bundle Methods for Regularized Risk Minimization 1 2014-04-28 1.84MB 57 0
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs 1 2014-04-28 1.84MB 611+ 0
Image Denoising with Kernels Based on Natural Image Relations 1 2014-04-28 1.77MB 100 0
Language-Motivated Approaches to Action Recognition 1 2014-04-28 1.74MB 1311+ 0
The Locally Weighted Bag of Words Framework for Document Representation 1 2014-04-28 1.74MB 62 0
Multivariate Convex Regression with Adaptive Partitioning 1 2014-04-28 1.73MB 66 0
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence 1 2014-04-28 1.72MB 881+ 0
Kernel Methods for Relation Extraction 1 2014-04-28 1.70MB 67 0
Bayesian Mixed-Effects Inference on Classification Performance in Hierarchical Data Sets 1 2014-04-28 1.70MB 77 0
A Model of the Perception of Facial Expressions of Emotion by Humans: Research Overview and Perspectives 1 2014-04-28 1.68MB 134 0
Generalized Spike-and-Slab Priors for Bayesian Group Feature Selection Using Expectation Propagation 1 2014-04-28 1.66MB 53 0
A Hierarchy of Support Vector Machines for Pattern Detection 1 2014-04-28 1.65MB 61 0
How to Explain Individual Classification Decisions 1 2014-04-28 1.64MB 53 0
Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization 1 2014-04-28 1.62MB 90 0
Graph Kernels 1 2014-04-28 1.56MB 68 0
Feature Selection via Dependence Maximization 1 2014-04-28 1.55MB 111 0
Evolutionary Function Approximation for Reinforcement Learning 1 2014-04-28 1.55MB 61 0
Discriminative Learning of Max-Sum Classifiers 1 2014-04-28 1.53MB 51 0
The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs 1 2014-04-28 1.53MB 55 0
Information, Divergence and Risk for Binary Experiments 1 2014-04-28 1.51MB 58 0
Semi-Supervised Learning Using Greedy Max-Cut 1 2014-04-28 1.49MB 574+ 0
On Using Extended Statistical Queries to Avoid Membership Queries 1 2014-04-28 1.48MB 471+ 0
Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation 1 2014-04-28 1.45MB 751+ 0
Expectation Truncation and the Benefits of Preselection In Training Generative Models 1 2014-04-28 1.44MB 69 0
LIBLINEAR: A Library for Large Linear Classification(Machine Learning Open Source Software Paper) 1 2014-04-28 1.43MB 80 0
Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising 1 2014-04-28 1.39MB 70 0
Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion 1 2014-04-28 1.39MB 94 0
A Compression Approach to Support Vector Model Selection 1 2014-04-28 1.36MB 118 0
Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes 1 2014-04-28 1.34MB 54 0
Prediction With Expert Advice For The Brier Game 1 2014-04-28 1.34MB 57 0
Value Function Approximation using Multiple Aggregation for Multiattribute Resource Management 1 2014-04-28 1.34MB 61 0
Diffusion Kernels on Statistical Manifolds 1 2014-04-28 1.34MB 56 0
Tree-Based Batch Mode Reinforcement Learning 1 2014-04-28 1.32MB 54 0
MedLDA: Maximum Margin Supervised Topic Models 1 2014-04-28 1.32MB 592+ 0
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning 1 2014-04-28 1.32MB 72 0
Truncating the Loop Series Expansion for Belief Propagation 1 2014-04-28 1.31MB 54 0
Regularization-Free Principal Curve Estimation 1 2014-04-28 1.30MB 48 0
Linear Fitted-Q Iteration with Multiple Reward Functions 1 2014-04-28 1.30MB 54 0
Kronecker Graphs: An Approach to Modeling Networks 1 2014-04-28 1.29MB 60 0
Why Does Unsupervised Pre-training Help Deep Learning? 1 2014-04-28 1.29MB 170 0
The Need for Open Source Software in Machine Learning 1 2014-04-28 1.28MB 892+ 0
Evolutionary Model Type Selection for Global Surrogate Modeling 1 2014-04-28 1.28MB 64 0
In Search of Non-Gaussian Components of a High-Dimensional Distribution 1 2014-04-28 1.28MB 75 0
Experiment Selection for Causal Discovery 1 2014-04-28 1.27MB 491+ 0
Boosting as a Regularized Path to a Maximum Margin Classifier 1 2014-04-28 1.26MB 62 0
EP-GIG Priors and Applications in Bayesian Sparse Learning 1 2014-04-28 1.23MB 572+ 0
Nested Expectation Propagation for Gaussian Process Classification with a Multinomial Probit Likelihood 1 2014-04-28 1.20MB 57 0
How to Solve Classification and Regression Problems on High-Dimensional Data with a Supervised Extension of Slow Feature Analysis 1 2014-04-28 1.19MB 72 0
Posterior Regularization for Structured Latent Variable Models 1 2014-04-28 1.18MB 52 0
Classification with Incomplete Data Using Dirichlet Process Priors 1 2014-04-28 1.18MB 54 0
Large Scale Online Learning of Image Similarity Through Ranking 1 2014-04-28 1.17MB 56 0
Pairwise Likelihood Ratios for Estimation of Non-Gaussian Structural Equation Models 1 2014-04-28 1.16MB 60 0
CarpeDiem: Optimizing the Viterbi Algorithm and Applications to Supervised Sequential Learning 1 2014-04-28 1.15MB 84 0
A New Probabilistic Approach in Rank Regression with Optimal Bayesian Partitioning (Special Topic on Model Selection) 1 2014-04-28 1.13MB 54 0
Lyapunov Design for Safe Reinforcement Learning 1 2014-04-28 1.13MB 87 0
Mean Field Variational Approximation for Continuous-Time Bayesian Networks 1 2014-04-28 1.12MB 52 0
Second-Order Bilinear Discriminant Analysis 1 2014-04-28 1.12MB 52 0
Faster Algorithms for Max-Product Message-Passing 1 2014-04-28 1.12MB 60 0
Inducing Tree-Substitution Grammars 1 2014-04-28 1.12MB 71 0
Learning in Environments with Unknown Dynamics: Towards more Robust Concept Learners 1 2014-04-28 1.11MB 61 0
Classifying With Confidence From Incomplete Information 1 2014-04-28 1.09MB 56 0
A Generalized Path Integral Control Approach to Reinforcement Learning 1 2014-04-28 1.09MB 67 0
Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data 1 2014-04-28 1.09MB 63 0
Large-scale Linear Support Vector Regression 1 2014-04-28 1.08MB 58 0
Asymptotic Model Selection for Naive Bayesian Networks 1 2014-04-28 1.08MB 55 0
Consensus-Based Distributed Support Vector Machines 1 2014-04-28 1.06MB 58 0
Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problems (Special Topic on Machine Learning and Optimization) 1 2014-04-28 1.04MB 56 0
Classification Using Geometric Level Sets 1 2014-04-28 1.04MB 55 0
Convex and Scalable Weakly Labeled SVMs 1 2014-04-28 1.03MB 581+ 0
Statistical Dynamics of On-line Independent Component Analysis 1 2014-04-28 1.02MB 70 0
Efficient Algorithms for Decision Tree Cross-validation 1 2014-04-28 1.01MB 74 0
Ranking Forests 1 2014-04-28 1.01MB 51 0
Erratum: SGDQN is Less Careful than Expected 1 2014-04-28 998.43kB 58 0
Boosted Classification Trees and Class ProbabilityQuantile Estimation 1 2014-04-28 989.97kB 52 0
A Recursive Method for Structural Learning of Directed Acyclic Graphs 1 2014-04-28 986.24kB 63 0
Finding Recurrent Patterns from Continuous Sign Language Sentences for Automated Extraction of Signs 1 2014-04-28 982.84kB 175 0
Bayes Point Machines (Kernel Machines Section) 1 2014-04-28 977.43kB 56 0
Evidence Contrary to the Statistical View of Boosting 1 2014-04-28 973.13kB 55 0
Exploring Strategies for Training Deep Neural Networks 1 2014-04-28 973.02kB 166 0
Semi-Supervised Learning with Measure Propagation 1 2014-04-28 971.52kB 50 0
A Local Spectral Method for Graphs: With Applications to Improving Graph Partitions and Exploring Data Graphs Locally 1 2014-04-28 968.87kB 76 0
Greedy Feature Selection for Subspace Clustering 1 2014-04-28 956.72kB 531+ 0
A Comparison of the Lasso and Marginal Regression 1 2014-04-28 953.29kB 58 0
Large Scale Multiple Kernel Learning (Special Topic on Machine Learning and Optimization) 1 2014-04-28 937.23kB 59 0
DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model 1 2014-04-28 934.53kB 56 0
The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem 1 2014-04-28 926.73kB 116 0
Training SVMs Without Offset 1 2014-04-28 922.84kB 48 0
Gaussian Kullback-Leibler Approximate Inference 1 2014-04-28 922.45kB 57 0
Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation 1 2014-04-28 918.89kB 60 0
Learning Minimum Volume Sets 1 2014-04-28 917.29kB 49 0
Security Analysis of Online Centroid Anomaly Detection 1 2014-04-28 912.39kB 145 0
Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso 1 2014-04-28 911.77kB 54 0
An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression 1 2014-04-28 910.98kB 60 0
Euclidean Embedding of Co-occurrence Data 1 2014-04-28 908.31kB 52 0
Nonparametric Quantile Estimation 1 2014-04-28 904.72kB 55 0
Hyper-Sparse Optimal Aggregation 1 2014-04-28 900.66kB 54 0
Entropy Search for Information-Efficient Global Optimization 1 2014-04-28 891.10kB 3291+ 0
Identification of Recurrent Neural Networks by Bayesian Interrogation Techniques 1 2014-04-28 878.32kB 109 0
Learning a Mahalanobis Metric from Equivalence Constraints 1 2014-04-28 868.95kB 66 0
Rearrangement Clustering: Pitfalls, Remedies, and Applications 1 2014-04-28 866.52kB 51 0
Two Distributed-State Models For Generating High-Dimensional Time Series 1 2014-04-28 866.01kB 65 0
Perturbation Corrections in Approximate Inference: Mixture Modelling Applications 1 2014-04-28 863.46kB 48 0
Smoothing Multivariate Performance Measures 1 2014-04-28 858.61kB 48 0
Characterization, Stability and Convergence of Hierarchical Clustering Methods 1 2014-04-28 857.23kB 65 0
On the Size and Recovery of Submatrices of Ones in a Random Binary Matrix 1 2014-04-28 856.27kB 50 0
Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparsity Regularized Estimation 1 2014-04-28 852.47kB 111 0
A Least-squares Approach to Direct Importance Estimation 1 2014-04-28 849.23kB 59 0
SimpleMKL 1 2014-04-28 843.95kB 50 0
X-Armed Bandits 1 2014-04-28 835.49kB 52 0
Algorithms for Discovery of Multiple Markov Boundaries 1 2014-04-28 831.15kB 66 0
An Analysis of Convex Relaxations for MAP Estimation of Discrete MRFs 1 2014-04-28 827.67kB 572+ 0
Machine Learning with Operational Costs 1 2014-04-28 824.49kB 722+ 0
Gini Support Vector Machine: Quadratic Entropy Based Robust Multi-Class Probability Regression 1 2014-04-28 817.86kB 491+ 0
Nonparametric Guidance of Autoencoder Representations using Label Information 1 2014-04-28 816.49kB 572+ 0
Learning Horn Expressions with LOGAN-H 1 2014-04-28 814.71kB 51 0
Forest Density Estimation 1 2014-04-28 809.73kB 63 0
Structural Learning of Chain Graphs via Decomposition 1 2014-04-28 809.44kB 54 0
Using Machine Learning to Guide Architecture Simulation 1 2014-04-28 809.37kB 1131+ 0
Learning Transformation Models for Ranking and Survival Analysis 1 2014-04-28 806.05kB 53 0
Undercomplete Blind Subspace Deconvolution 1 2014-04-28 803.71kB 50 0
Linear Programming Relaxations and Belief Propagation -- An Empirical Study (Special Topic on Machine Learning and Optimization) 1 2014-04-28 802.84kB 1201+ 0
Search for Additive Nonlinear Time Series Causal Models 1 2014-04-28 784.42kB 57 0
Loop Corrections for Approximate Inference on Factor Graphs 1 2014-04-28 781.06kB 48 0
Nash Q-Learning for General-Sum Stochastic Games 1 2014-04-28 780.70kB 68 0
Construction of Approximation Spaces for Reinforcement Learning 1 2014-04-28 778.55kB 48 0
Anechoic Blind Source Separation Using Wigner Marginals 1 2014-04-28 773.75kB 62 0
An Information Criterion for Variable Selection in Support Vector Machines(Special Topic on Model Selection) 1 2014-04-28 764.43kB 57 0
Convex and Network Flow Optimization for Structured Sparsity 1 2014-04-28 763.93kB 57 0
An Introduction to Variable and Feature Selection (Kernel Machines Section) 1 2014-04-28 763.45kB 70 0
Kernel Analysis of Deep Networks 1 2014-04-28 762.62kB 1112+ 0
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation 1 2014-04-28 759.29kB 77 0
Robust Gaussian Process Regression with a Student-t Likelihood 1 2014-04-28 759.22kB 53 0
Stochastic Composite Likelihood 1 2014-04-28 749.14kB 482+ 0
Joint Harmonic Functions and Their Supervised Connections 1 2014-04-28 749.03kB 56 0
Segregating Event Streams and Noise with a Markov Renewal Process Model 1 2014-04-28 744.31kB 641+ 0
Probability Product Kernels (Special Topic on Learning Theory) 1 2014-04-28 742.63kB 80 0
A Maximum Likelihood Approach to Single-channel Source Separation 1 2014-04-28 738.33kB 54 0
High-dimensional Covariance Estimation Based On Gaussian Graphical Models 1 2014-04-28 735.00kB 52 0
Learning Latent Tree Graphical Models 1 2014-04-28 734.64kB 48 0
Lovasz theta function, SVMs and Finding Dense Subgraphs 1 2014-04-28 730.31kB 52 0
Regularized Principal Manifolds (Kernel Machines Section) 1 2014-04-28 728.96kB 54 0
Causal Reasoning with Ancestral Graphs(Special Topic on Causality) 1 2014-04-28 728.93kB 55 0
Random Search for Hyper-Parameter Optimization 1 2014-04-28 728.27kB 64 0
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization 1 2014-04-28 711.51kB 47 0
Introduction to the Special Issue on Inductive Logic Programming 1 2014-04-28 708.77kB 70 0
Composite Binary Losses 1 2014-04-28 706.13kB 58 0
Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection 1 2014-04-28 706.10kB 70 0
Bounding the Probability of Error for High Precision Optical Character Recognition 1 2014-04-28 698.79kB 75 0
Exploration in Relational Domains for Model-based Reinforcement Learning 1 2014-04-28 697.87kB 57 0
Fourier Theoretic Probabilistic Inference over Permutations 1 2014-04-28 696.98kB 44 0
Improving CUR Matrix Decomposition and the Nystrom Approximation via Adaptive Sampling 1 2014-04-28 691.67kB 46 0
An Efficient Explanation of Individual Classifications using Game Theory 1 2014-04-28 690.80kB 115 0
A Robust Procedure For Gaussian Graphical Model Search From Microarray Data With p Larger Than n 1 2014-04-28 685.16kB 54 0
Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data 1 2014-04-28 682.23kB 77 0
The Hidden Life of Latent Variables: Bayesian Learning with Mixed Graph Models 1 2014-04-28 676.53kB 72 0
The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces (Kernel Machines Section) 1 2014-04-28 675.84kB 732+ 0
Optimally Fuzzy Temporal Memory 1 2014-04-28 674.31kB 791+ 0
Multi-task Reinforcement Learning in Partially Observable Stochastic Environments 1 2014-04-28 670.45kB 55 0
Structure Spaces 1 2014-04-28 669.80kB 54 0
Bilinear Discriminant Component Analysis 1 2014-04-28 669.21kB 59 0
Variational Algorithms for Marginal MAP 1 2014-04-28 665.80kB 57 0
A Nonparametric Statistical Approach to Clustering via Mode Identification 1 2014-04-28 665.62kB 71 0
"Ideal Parent" Structure Learning for Continuous Variable Bayesian Networks 1 2014-04-28 663.20kB 61 0
Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting 1 2014-04-28 662.38kB 70 0
Learning Hidden Variable Networks: The Information Bottleneck Approach 1 2014-04-28 661.62kB 54 0
Learning Spectral Clustering, With Application To Speech Separation 1 2014-04-28 660.25kB 53 0
Estimating Functions for Blind Separation When Sources Have Variance Dependencies 1 2014-04-28 658.28kB 62 0
Extensions to Metric-Based Model Selection 1 2014-04-28 657.99kB 59 0
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers 1 2014-04-28 649.08kB 72 0
Learning Balls of Strings from Edit Corrections 1 2014-04-28 648.89kB 56 0
Computationally Efficient Convolved Multiple Output Gaussian Processes 1 2014-04-28 646.80kB 50 0
Truncated Power Method for Sparse Eigenvalue Problems 1 2014-04-28 645.50kB 68 0
Adaptive Exact Inference in Graphical Models 1 2014-04-28 644.27kB 52 0
Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels 1 2014-04-28 642.66kB 103 0
The CAM Software for Nonnegative Blind Source Separation in R-Java 1 2014-04-28 637.86kB 981+ 0
On Efficient Large Margin Semisupervised Learning: Method and Theory 1 2014-04-28 630.90kB 49 0
Structured Sparsity via Alternating Direction Methods 1 2014-04-28 629.89kB 69 0
Inverse Reinforcement Learning in Partially Observable Environments 1 2014-04-28 626.03kB 64 0
A Family of Simple Non-Parametric Kernel Learning Algorithms 1 2014-04-28 620.86kB 67 0
Static Prediction Games for Adversarial Learning Problems 1 2014-04-28 619.68kB 67 0
Practical Approaches to Principal Component Analysis in the Presence of Missing Values 1 2014-04-28 616.99kB 61 0
PAC-Bayesian Analysis of Co-clustering and Beyond 1 2014-04-28 614.96kB 63 0
Sub-Local Constraint-Based Learning of Bayesian Networks Using A Joint Dependence Criterion 1 2014-04-28 614.81kB 65 0
Nonparametric Sparsity and Regularization 1 2014-04-28 612.85kB 621+ 0
Multicategory Large-Margin Unified Machines 1 2014-04-28 612.67kB 55 0
Stagewise Lasso 1 2014-04-28 611.53kB 42 0
Proximal Methods for Hierarchical Sparse Coding 1 2014-04-28 611.35kB 47 0
Dynamics and Generalization Ability of LVQ Algorithms 1 2014-04-28 608.48kB 54 0
Efficient Margin Maximizing with Boosting 1 2014-04-28 605.34kB 62 0
Multi-Assignment Clustering for Boolean Data 1 2014-04-28 604.58kB 68 0
The Set Covering Machine 1 2014-04-28 599.85kB 59 0
Tapkee: An Efficient Dimension Reduction Library 1 2014-04-28 598.47kB 64 0
Hierarchical Knowledge Gradient for Sequential Sampling 1 2014-04-28 594.38kB 59 0
Maximum Entropy Discrimination Markov Networks 1 2014-04-28 593.20kB 51 0
Stress Functions for Nonlinear Dimension Reduction, Proximity Analysis, and Graph Drawing 1 2014-04-28 593.04kB 150 0
Derivative Estimation with Local Polynomial Fitting 1 2014-04-28 590.78kB 15 0
Linear Regression With Random Projections 1 2014-04-28 586.31kB 77 0
Bayesian Nonparametric Hidden Semi-Markov Models 1 2014-04-28 586.13kB 782+ 0
CARP: Software for Fishing Out Good Clustering Algorithms 1 2014-04-28 584.44kB 57 0
Theoretical Analysis of Bayesian Matrix Factorization 1 2014-04-28 581.48kB 63 0
A Cure for Variance Inflation in High Dimensional Kernel Principal Component Analysis 1 2014-04-28 577.25kB 59 0
Regularized Bundle Methods for Convex and Non-Convex Risks 1 2014-04-28 576.41kB 52 0
Efficient Learning of Label Ranking by Soft Projections onto Polyhedra (Special Topic on Machine Learning and Optimization) 1 2014-04-28 572.89kB 47 0
An MDP-Based Recommender System 1 2014-04-28 569.22kB 90 0
Spectral Regularization Algorithms for Learning Large Incomplete Matrices 1 2014-04-28 569.20kB 50 0
Learning Evaluation Functions to Improve Optimization by Local Search 1 2014-04-28 568.36kB 98 0
Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models 1 2014-04-28 564.84kB 501+ 0
Particle Swarm Model Selection(Special Topic on Model Selection) 1 2014-04-28 563.42kB 56 0
A Unified View of Performance Metrics: Translating Threshold Choice into Expected Classification Loss 1 2014-04-28 563.39kB 69 0
Distributional Scaling: An Algorithm for Structure-Preserving Embedding of Metric and Nonmetric Spaces 1 2014-04-28 563.08kB 96 0
An Anticorrelation Kernel for Subsystem Training in Multiple Classifier Systems 1 2014-04-28 560.99kB 52 0
Producing Power-Law Distributions and Damping Word Frequencies with Two-Stage Language Models 1 2014-04-28 560.66kB 54 0
Active Learning by Spherical Subdivision 1 2014-04-28 560.53kB 49 0
Non-Sparse Multiple Kernel Fisher Discriminant Analysis 1 2014-04-28 555.62kB 54 0
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes 1 2014-04-28 553.64kB 58 0
On the Foundations of Noise-free Selective Classification 1 2014-04-28 552.99kB 56 0
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting (Special Topic on Inductive Programming) 1 2014-04-28 552.76kB 70 0
An Improved GLMNET for L1-regularized Logistic Regression 1 2014-04-28 549.24kB 74 0
Matched Gene Selection and Committee Classifier for Molecular Classification of Heterogeneous Diseases 1 2014-04-28 548.81kB 65 0
Blind Source Separation via Generalized Eigenvalue Decomposition 1 2014-04-28 546.79kB 61 0
Closed Sets for Labeled Data 1 2014-04-28 546.17kB 47 0
Prioritization Methods for Accelerating MDP Solvers 1 2014-04-28 542.57kB 54 0
Beyond Fano's Inequality: Bounds on the Optimal F-Score, BER, and Cost-Sensitive Risk and Their Implications 1 2014-04-28 542.56kB 59 0
Conjugate Relation between Loss Functions and Uncertainty Sets in Classification Problems 1 2014-04-28 535.15kB 691+ 0
Algebraic Geometric Comparison of Probability Distributions 1 2014-04-28 534.83kB 74 0
Structured Prediction, Dual Extragradient and Bregman Projections (Special Topic on Machine Learning and Optimization) 1 2014-04-28 534.29kB 59 0
ICA Using Spacings Estimates of Entropy 1 2014-04-28 534.27kB 55 0
Sparse Linear Identifiable Multivariate Modeling 1 2014-04-28 533.99kB 58 0
Linear-Time Computation of Similarity Measures for Sequential Data 1 2014-04-28 533.68kB 55 0
Learning Semantic Lexicons from a Part-of-Speech and Semantically Tagged Corpus Using Inductive Logic Programming 1 2014-04-28 533.07kB 118 0
Bayesian Network Structure Learning by Recursive Autonomy Identification 1 2014-04-28 532.30kB 59 0
Bouligand Derivatives and Robustness of Support Vector Machines for Regression 1 2014-04-28 531.56kB 63 0
Maximum Volume Clustering: A New Discriminative Clustering Approach 1 2014-04-28 531.38kB 54 0
Hilbert Space Embeddings and Metrics on Probability Measures 1 2014-04-28 530.50kB 58 0
Segmental Hidden Markov Models with Random Effects for Waveform Modeling 1 2014-04-28 529.59kB 58 0
Noisy-OR Component Analysis and its Application to Link Analysis 1 2014-04-28 529.55kB 52 0
Point-Based Value Iteration for Continuous POMDPs 1 2014-04-28 527.86kB 45 0
Improved Moves for Truncated Convex Models 1 2014-04-28 526.60kB 45 0
Sparse Activity and Sparse Connectivity in Supervised Learning 1 2014-04-28 526.25kB 51 0
Cautious Collective Classification 1 2014-04-28 525.68kB 53 0
Non-Parametric Estimation of Topic Hierarchies from Texts with Hierarchical Dirichlet Processes 1 2014-04-28 524.92kB 49 0
A Robust Minimax Approach to Classification 1 2014-04-28 523.76kB 682+ 0
On Online Learning of Decision Lists 1 2014-04-28 523.75kB 54 0
On the Suitable Domain for SVM Training in Image Coding 1 2014-04-28 521.36kB 64 0
Collaborative Multiagent Reinforcement Learning by Payoff Propagation 1 2014-04-28 521.27kB 56 0
Positive Semidefinite Metric Learning Using Boosting-like Algorithms 1 2014-04-28 520.97kB 551+ 0
Belief Propagation for Continuous State Spaces: Stochastic Message-Passing with Quantitative Guarantees 1 2014-04-28 519.90kB 52 0
Learning with Structured Sparsity 1 2014-04-28 518.70kB 55 0
Online Choice of Active Learning Algorithms 1 2014-04-28 518.47kB 101 0
Information Bottleneck for Gaussian Variables 1 2014-04-28 518.38kB 44 0
A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation 1 2014-04-28 518.05kB 58 0
Stochastic Methods for l1-regularized Loss Minimization 1 2014-04-28 517.56kB 511+ 0
Random Walk Kernels and Learning Curves for Gaussian Process Regression on Random Graphs 1 2014-04-28 517.11kB 551+ 0
Learning Linear Cyclic Causal Models with Latent Variables 1 2014-04-28 516.05kB 58 0
Bayesian Canonical Correlation Analysis 1 2014-04-28 515.47kB 63 0
Efficient Online and Batch Learning Using Forward Backward Splitting 1 2014-04-28 514.50kB 50 0
A Streaming Parallel Decision Tree Algorithm 1 2014-04-28 512.65kB 1121+ 0
Transfer Learning via Inter-Task Mappings for Temporal Difference Learning 1 2014-04-28 511.94kB 55 0
A Generative Model for Separating Illumination and Reflectance from Images 1 2014-04-28 511.41kB 63 0
Learning from Multiple Sources 1 2014-04-28 510.00kB 52 0
Using Symmetry and Evolutionary Search to Minimize Sorting Networks 1 2014-04-28 507.96kB 64 0
SparseRobust Estimation and Kalman Smoothing with Nonsmooth Log-Concave Densities: Modeling, Computation, and Theory 1 2014-04-28 507.88kB 55 0
Global Analytic Solution of Fully-observed Variational Bayesian Matrix Factorization 1 2014-04-28 507.62kB 56 0
Fast Kernel Classifiers with Online and Active Learning 1 2014-04-28 507.26kB 51 0
Using Markov Blankets for Causal Structure Learning(Special Topic on Causality) 1 2014-04-28 506.99kB 96 0
Shark(Machine Learning Open Source Software Paper) 1 2014-04-28 503.86kB 1921+ 0
Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity 1 2014-04-28 502.65kB 61 0
Laplacian Support Vector Machines Trained in the Primal 1 2014-04-28 502.28kB 61 0
Probability Estimates for Multi-class Classification by Pairwise Coupling 1 2014-04-28 501.96kB 57 0
A Geometric Approach to Sample Compression 1 2014-04-28 501.02kB 73 0
Variational Inference in Nonconjugate Models 1 2014-04-28 500.05kB 46 0
Robust Process Discovery with Artificial Negative Events(Special Topic on Mining and Learning with Graphs and Relations) 1 2014-04-28 499.13kB 74 0
Exploiting Best-Match Equations for Efficient Reinforcement Learning 1 2014-04-28 495.83kB 51 0
Learning Equivariant Functions with Matrix Valued Kernels 1 2014-04-28 495.75kB 56 0
Complete Identification Methods for the Causal Hierarchy(Special Topic on Causality) 1 2014-04-28 495.05kB 59 0
On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines (Kernel Machines Section) 1 2014-04-28 494.39kB 31 0
Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts 1 2014-04-28 490.17kB 46 0
Online Learning of Complex Prediction Problems Using Simultaneous Projections 1 2014-04-28 490.02kB 62 0
On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition 1 2014-04-28 488.22kB 51 0
Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis 1 2014-04-28 487.93kB 46 0
Prior Knowledge and Preferential Structures in Gradient Descent Learning Algorithms 1 2014-04-28 486.62kB 73 0
Mal-ID: Automatic Malware Detection Using Common Segment Analysis and Meta-Features 1 2014-04-28 486.14kB 902+ 0
Assessing Approximate Inference for Binary Gaussian Process Classification 1 2014-04-28 483.69kB 52 0
Spam Filtering Based On The Analysis Of Text Information Embedded Into Images (Special Topic on Machine Learning for Computer Security) 1 2014-04-28 482.18kB 98 0
Kernel Independent Component Analysis (Kernel Machines Section) 1 2014-04-28 481.88kB 562+ 0
A Kernel Two-Sample Test 1 2014-04-28 479.88kB 234 0
Kernel Methods for Measuring Independence 1 2014-04-28 478.95kB 48 0
Spherical-Homoscedastic Distributions: The Equivalency of Spherical and Normal Distributions in Classification 1 2014-04-28 478.68kB 66 0
Tracking the Best Linear Predictor 1 2014-04-28 476.95kB 96 0
Learning Instance-Specific Predictive Models 1 2014-04-28 474.95kB 63 0
Metric and Kernel Learning Using a Linear Transformation 1 2014-04-28 473.91kB 57 0
Controlling the False Discovery Rate of the AssociationCausality Structure Learned with the PC Algorithm(Special Topic on Mining and Learning with Graphs and Relations) 1 2014-04-28 469.20kB 76 0
Learning Multi-modal Similarity 1 2014-04-28 468.43kB 54 0
Maximum Relative Margin and Data-Dependent Regularization 1 2014-04-28 466.22kB 46 0
Collective Inference for Extraction MRFs Coupled with Symmetric Clique Potentials 1 2014-04-28 465.78kB 52 0
Kernel Regression in the Presence of Correlated Errors 1 2014-04-28 465.08kB 60 0
On the Representer Theorem and Equivalent Degrees of Freedom of SVR 1 2014-04-28 463.09kB 49 0
Efficient SVM Training Using Low-Rank Kernel Representations (Kernel Machines Section) 1 2014-04-28 463.05kB 49 0
Refinement of Operator-valued Reproducing Kernels 1 2014-04-28 458.86kB 54 0
Robust Kernel Density Estimation 1 2014-04-28 457.80kB 56 0
The Representational Power of Discrete Bayesian Networks 1 2014-04-28 457.49kB 64 0
Unlabeled Compression Schemes for Maximum Classes 1 2014-04-28 457.23kB 52 0
Variational Message Passing 1 2014-04-28 456.23kB 51 0
NEUROSVM: An Architecture to Reduce the Effect of the Choice of Kernel on the Performance of SVM 1 2014-04-28 452.73kB 49 0
Learning Ensembles from Bites: A Scalable and Accurate Approach 1 2014-04-28 452.37kB 612+ 0
Classification in Networked Data: A Toolkit and a Univariate Case Study 1 2014-04-28 452.34kB 55 0
Learning the Structure of Linear Latent Variable Models 1 2014-04-28 451.79kB 59 0
A Generalized Kernel Approach to Dissimilarity-based Classification (Kernel Machines Section) 1 2014-04-28 451.30kB 531+ 0
Step Size Adaptation in Reproducing Kernel Hilbert Space 1 2014-04-28 450.31kB 76 0
Ranking Categorical Features Using Generalization Properties 1 2014-04-28 449.95kB 54 0
Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers 1 2014-04-28 449.20kB 53 0
Eliminating Spammers and Ranking Annotators for Crowdsourced Labeling Tasks 1 2014-04-28 449.19kB 81 0
Bayesian Inference and Optimal Design for the Sparse Linear Model 1 2014-04-28 448.97kB 198 0
Learning to Classify Ordinal Data: The Data Replication Method 1 2014-04-28 448.24kB 651+ 0
In All Likelihood, Deep Belief Is Not Enough 1 2014-04-28 447.32kB 76 0
Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood 1 2014-04-28 447.14kB 581+ 0
Structured Variable Selection with Sparsity-Inducing Norms 1 2014-04-28 446.85kB 49 0
Special Issue on the Eighteenth International Conference on Machine Learning (ICML2001) 1 2014-04-28 443.41kB 662+ 0
Alleviating Naive Bayes Attribute Independence Assumption by Attribute Weighting 1 2014-04-28 442.45kB 56 0
Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction 1 2014-04-28 441.50kB 69 0
Learning Parts-Based Representations of Data 1 2014-04-28 440.26kB 68 0
Working Set Selection Using Second Order Information for Training Support Vector Machines 1 2014-04-28 440.14kB 52 0
Comments on the Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion 1 2014-04-28 439.54kB 65 0
A Stochastic Algorithm for Feature Selection in Pattern Recognition 1 2014-04-28 438.67kB 175 0
Learning the Kernel with Hyperkernels (Kernel Machines Section) 1 2014-04-28 434.77kB 62 0
lp-Norm Multiple Kernel Learning 1 2014-04-28 434.40kB 54 0
Transfer in Reinforcement Learning via Shared Features 1 2014-04-28 434.22kB 71 0
Maximum Entropy Density Estimation with Generalized Regularization and an Application to Species Distribution Modeling 1 2014-04-28 432.51kB 52 0
Mixability is Bayes Risk Curvature Relative to Log Loss 1 2014-04-28 429.80kB 58 0
Bounded Kernel-Based Online Learning 1 2014-04-28 429.45kB 58 0
Second Order Cone Programming Approaches for Handling Missing and Uncertain Data (Special Topic on Machine Learning and Optimization) 1 2014-04-28 429.29kB 63 0
Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets 1 2014-04-28 427.93kB 54 0
Building Blocks for Variational Bayesian Learning of Latent Variable Models 1 2014-04-28 426.83kB 58 0
Fast and Scalable Local Kernel Machines 1 2014-04-28 425.91kB 77 0
Natural Language Processing (Almost) from Scratch 1 2014-04-28 424.78kB 278 0
A Near-Optimal Algorithm for Differentially-Private Principal Components 1 2014-04-28 424.73kB 65 0
Query Induction with Schema-Guided Pruning Strategies 1 2014-04-28 424.42kB 601+ 0
Learning Nondeterministic Classifiers 1 2014-04-28 422.56kB 59 0
Margin-based Ranking and an Equivalence between AdaBoost and RankBoost 1 2014-04-28 420.29kB 55 0
Training Energy-Based Models for Time-Series Imputation 1 2014-04-28 419.20kB 74 0
A Family of Additive Online Algorithms for Category Ranking 1 2014-04-28 418.00kB 59 0
Core Vector Machines: Fast SVM Training on Very Large Data Sets 1 2014-04-28 417.31kB 761+ 0
A Linear Non-Gaussian Acyclic Model for Causal Discovery 1 2014-04-28 417.28kB 631+ 0
On the Convergence Rate of lp-Norm Multiple Kernel Learning 1 2014-04-28 417.13kB 632+ 0
Stationary-Sparse Causality Network Learning 1 2014-04-28 416.79kB 46 0
Smooth -Insensitive Regression by Loss Symmetrization 1 2014-04-28 416.45kB 49 0
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples 1 2014-04-28 416.15kB 511+ 0
Algorithmic Luckiness 1 2014-04-28 414.67kB 57 0
Sally: A Tool for Embedding Strings in Vector Spaces 1 2014-04-28 413.35kB 631+ 0
Introduction to the Special Issue on Learning Theory 1 2014-04-28 411.96kB 86 0
Transfer Learning for Reinforcement Learning Domains: A Survey 1 2014-04-28 409.39kB 65 0
Minimal Kernel Classifiers (Kernel Machines Section) 1 2014-04-28 408.15kB 75 0
An Investigation of Missing Data Methods for Classification Trees Applied to Binary Response Data 1 2014-04-28 408.00kB 64 0
The Indian Buffet Process: An Introduction and Review 1 2014-04-28 407.75kB 121 0
Combining Information Extraction Systems Using Voting and Stacked Generalization 1 2014-04-28 407.66kB 59 0
Learning Module Networks 1 2014-04-28 406.70kB 92 0
Quantum Set Intersection and its Application to Associative Memory 1 2014-04-28 404.25kB 3892+ 0
Tree Decomposition for Large-Scale SVM Problems 1 2014-04-28 403.78kB 59 0
Feature Selection for Unsupervised and Supervised Inference: The Emergence of Sparsity in a Weight-Based Approach 1 2014-04-28 402.63kB 55 0
Linear Algorithms for Online Multitask Classification 1 2014-04-28 402.57kB 631+ 0
Generalized Bradley-Terry Models and Multi-Class Probability Estimates 1 2014-04-28 402.41kB 46 0
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data 1 2014-04-28 401.64kB 57 0
Generalized TD Learning 1 2014-04-28 400.39kB 52 0
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis 1 2014-04-28 399.65kB 104 0
CODA: High Dimensional Copula Discriminant Analysis 1 2014-04-28 399.30kB 681+ 0
Learning Translation Invariant Kernels for Classification 1 2014-04-28 398.68kB 64 0
Stochastic Variational Inference 1 2014-04-28 397.78kB 621+ 0
MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals 1 2014-04-28 395.93kB 84 0
Multiple Kernel Learning Algorithms 1 2014-04-28 395.81kB 49 0
Efficient Methods for Robust Classification Under Uncertainty in Kernel Matrices 1 2014-04-28 395.10kB 621+ 0
RCV1: A New Benchmark Collection for Text Categorization Research 1 2014-04-28 394.83kB 63 0
Parallel Algorithm for Learning Optimal Bayesian Network Structure 1 2014-04-28 394.24kB 91 0
Fast MCMC Sampling for Markov Jump Processes and Extensions 1 2014-04-28 393.64kB 50 0
An Exponential Model for Infinite Rankings 1 2014-04-28 392.92kB 56 0
Introduction to Special Issue on Machine Learning Approaches to Shallow Parsing 1 2014-04-28 392.17kB 78 0
A Case Study on Meta-Generalising: A Gaussian Processes Approach 1 2014-04-28 390.48kB 611+ 0
Low-Rank Kernel Learning with Bregman Matrix Divergences 1 2014-04-28 390.24kB 68 0
Estimating Labels from Label Proportions 1 2014-04-28 390.11kB 50 0
Non-Parametric Modeling of Partially Ranked Data 1 2014-04-28 390.11kB 53 0
The On-Line Shortest Path Problem Under Partial Monitoring 1 2014-04-28 389.69kB 52 0
Handling Missing Values when Applying Classification Models 1 2014-04-28 389.65kB 53 0
Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies 1 2014-04-28 389.20kB 76 0
Latent Dirichlet Allocation 1 2014-04-28 388.44kB 721+ 0
Local and Global Scaling Reduce Hubs in Space 1 2014-04-28 388.42kB 891+ 0
Regret Bounds and Minimax Policies under Partial Monitoring 1 2014-04-28 386.70kB 54 0
Learning the Kernel Matrix with Semidefinite Programming 1 2014-04-28 386.57kB 903+ 0
Randomized Variable Elimination 1 2014-04-28 386.37kB 542+ 0
Active Learning with Feedback on Features and Instances 1 2014-04-28 386.12kB 60 0
Algorithms for Sparse Linear Classifiers in the Massive Data Setting 1 2014-04-28 386.10kB 80 0
Learning Coordinate Covariances via Gradients 1 2014-04-28 385.96kB 53 0
Lossless Online Bayesian Bagging 1 2014-04-28 383.90kB 117 0
Posterior Sparsity in Unsupervised Dependency Parsing 1 2014-04-28 383.82kB 51 0
Covariance in Unsupervised Learning of Probabilistic Grammars 1 2014-04-28 383.37kB 77 0
Value Function Based Reinforcement Learning in Changing Markovian Environments 1 2014-04-28 382.70kB 55 0
An Introduction to Artificial Prediction Markets for Classification 1 2014-04-28 382.03kB 151 0
Communication-Efficient Algorithms for Statistical Optimization 1 2014-04-28 381.05kB 69 0
High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion 1 2014-04-28 380.31kB 571+ 0
Semigroup Kernels on Measures 1 2014-04-28 379.05kB 481+ 0
Bayesian Co-Training 1 2014-04-28 377.65kB 59 0
Settable Systems: An Extension of Pearl's Causal Model with Optimization, Equilibrium, and Learning 1 2014-04-28 377.57kB 50 0
Nonextensive Information Theoretic Kernels on Measures 1 2014-04-28 377.54kB 55 0
On Equivalence Relationships Between Classification and Ranking Algorithms 1 2014-04-28 376.99kB 54 0
Multiclass Classification with Multi-Prototype Support Vector Machines 1 2014-04-28 375.44kB 42 0
Query Strategies for Evading Convex-Inducing Classifiers 1 2014-04-28 374.14kB 52 0
Supervised Feature Selection in Graphs with Path Coding Penalties and Network Flows 1 2014-04-28 373.95kB 601+ 0
Approximate Tree Kernels 1 2014-04-28 373.35kB 53 0
A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes 1 2014-04-28 372.87kB 71 0
Online Passive-Aggressive Algorithms 1 2014-04-28 372.77kB 62 0
Local Discriminant Wavelet Packet Coordinates for Face Recognition 1 2014-04-28 371.96kB 67 0
Consistent Nonparametric Tests of Independence 1 2014-04-28 369.96kB 611+ 0
Learning Algorithms for the Classification Restricted Boltzmann Machine 1 2014-04-28 369.76kB 62 0
Universality, Characteristic Kernels and RKHS Embedding of Measures 1 2014-04-28 369.71kB 50 0
Random Spanning Trees and the Prediction of Weighted Graphs 1 2014-04-28 369.54kB 741+ 0
Statistical Consistency of Kernel Canonical Correlation Analysis 1 2014-04-28 367.80kB 49 0
Anytime Learning of Decision Trees 1 2014-04-28 364.51kB 62 0
Adaptive False Discovery Rate Control under Independence and Dependence 1 2014-04-28 364.22kB 47 0
Selective Sampling and Active Learning from Single and Multiple Teachers 1 2014-04-28 364.20kB 61 0
Greedy Sparsity-Constrained Optimization 1 2014-04-28 362.50kB 621+ 0
Consistent Feature Selection for Pattern Recognition in Polynomial Time 1 2014-04-28 362.46kB 52 0
Rejoinder to Reponses to Evidence Contrary to the Statistical View of Boosting 1 2014-04-28 362.15kB 47 0
FINkNN: A Fuzzy Interval Number k-Nearest Neighbor Classifier for Prediction of Sugar Production from Populations of Samples 1 2014-04-28 360.76kB 67 0
Dynamic Policy Programming 1 2014-04-28 360.04kB 77 0
Efficient Algorithms for Universal Portfolios 1 2014-04-28 358.86kB 62 0
Near-optimal Regret Bounds for Reinforcement Learning 1 2014-04-28 358.46kB 51 0
Quadratic Programming Feature Selection 1 2014-04-28 358.44kB 1102+ 0
Finding Optimal Bayesian Network Given a Super-Structure 1 2014-04-28 356.67kB 59 0
Using Contextual Representations to Efficiently Learn Context-Free Languages 1 2014-04-28 356.13kB 72 0
Learning Factor Graphs in Polynomial Time and Sample Complexity 1 2014-04-28 355.63kB 60 0
Facilitating Score and Causal Inference Trees for Large Observational Studies 1 2014-04-28 355.27kB 771+ 0
Considering Cost Asymmetry in Learning Classifiers 1 2014-04-28 355.12kB 50 0
Learning Linear Ranking Functions for Beam Search with Application to Planning 1 2014-04-28 354.72kB 53 0
Group Lasso Estimation of High-dimensional Covariance Matrices 1 2014-04-28 354.44kB 47 0
Loopy Belief Propagation: Convergence and Effects of Message Errors 1 2014-04-28 354.43kB 50 0
Learning When Concepts Abound 1 2014-04-28 351.75kB 44 0
Multi Kernel Learning with Online-Batch Optimization 1 2014-04-28 351.51kB 53 0
Learning Bilinear Model for Matching Queries and Documents 1 2014-04-28 350.48kB 511+ 0
Learning with Mixtures of Trees 1 2014-04-28 347.23kB 48 0
Introduction to the Special Issue on Machine Learning Methods for Text and Images 1 2014-04-28 346.30kB 86 0
Coherence Functions with Applications in Large-Margin Classification Methods 1 2014-04-28 345.58kB 45 0
Walk-Sums and Belief Propagation in Gaussian Graphical Models 1 2014-04-28 345.37kB 55 0
Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods 1 2014-04-28 345.18kB 54 0
An Extension on "Statistical Comparisons of Classifiers over Multiple Data Sets" for all Pairwise Comparisons 1 2014-04-28 343.90kB 61 0
Finding Optimal Bayesian Networks Using Precedence Constraints 1 2014-04-28 343.11kB 612+ 0
Clustering with Bregman Divergences 1 2014-04-28 342.74kB 45 0
Large-Sample Learning of Bayesian Networks is NP-Hard 1 2014-04-28 342.07kB 87 0
Learning Precise Timing with LSTM Recurrent Networks 1 2014-04-28 341.85kB 81 0
Bayesian Generalized Kernel Mixed Models 1 2014-04-28 340.76kB 59 0
Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach 1 2014-04-28 340.67kB 48 0
Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces 1 2014-04-28 340.16kB 68 0
Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation 1 2014-04-28 339.80kB 71 0
The huge Package for High-dimensional Undirected Graph Estimation in R 1 2014-04-28 339.26kB 54 0
Differentially Private Empirical Risk Minimization 1 2014-04-28 339.06kB 491+ 0
A Unified Framework for Model-based Clustering 1 2014-04-28 338.53kB 532+ 0
Frames, Reproducing Kernels, Regularization and Learning 1 2014-04-28 338.35kB 481+ 0
Nonlinear Estimators and Tail Bounds for Dimension Reduction in l1 Using Cauchy Random Projections 1 2014-04-28 337.83kB 52 0
Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components 1 2014-04-28 337.60kB 62 0
Query Transformations for Improving the Efficiency of ILP Systems 1 2014-04-28 337.20kB 52 0
Online Learning in the Embedded Manifold of Low-rank Matrices 1 2014-04-28 337.10kB 64 0
Spam Filtering Using Statistical Data Compression Models (Special Topic on Machine Learning for Computer Security) 1 2014-04-28 336.31kB 932+ 0
On the Equivalence of Linear Dimensionality-Reducing Transformations 1 2014-04-28 336.14kB 56 0
Distribution-Dependent Sample Complexity of Large Margin Learning 1 2014-04-28 335.74kB 481+ 0
Iterative Reweighted Algorithms for Matrix Rank Minimization 1 2014-04-28 335.72kB 69 0
Scalable Collaborative Filtering Approaches for Large Recommender Systems(Special Topic on Mining and Learning with Graphs and Relations) 1 2014-04-28 335.41kB 93 0
Optimal Distributed Online Prediction Using Mini-Batches 1 2014-04-28 334.87kB 57 0
Distributed Algorithms for Topic Models 1 2014-04-28 332.89kB 59 0
Hierarchical Average Reward Reinforcement Learning 1 2014-04-28 332.69kB 45 0
Active Clustering of Biological Sequences 1 2014-04-28 332.47kB 75 0
Regularized Discriminant Analysis, Ridge Regression and Beyond 1 2014-04-28 332.20kB 66 0
Revised Loss Bounds for the Set Covering Machine and Sample-Compression Loss Bounds for Imbalanced Data 1 2014-04-28 332.07kB 47 0
Exact Simplification of Support Vector Solutions (Kernel Machines Section) 1 2014-04-28 332.06kB 52 0
A Framework for Evaluating Approximation Methods for Gaussian Process Regression 1 2014-04-28 331.77kB 631+ 0
Sparse Semi-supervised Learning Using Conjugate Functions 1 2014-04-28 331.42kB 54 0
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates 1 2014-04-28 331.37kB 49 0
Learnability, Stability and Uniform Convergence 1 2014-04-28 331.23kB 72 0
Minimax Regret Classifier for Imprecise Class Distributions 1 2014-04-28 329.71kB 53 0
Kernel Bayes' Rule: Bayesian Inference with Positive Definite Kernels 1 2014-04-28 329.17kB 61 0
Multi-Instance Learning with Any Hypothesis Class 1 2014-04-28 328.57kB 552+ 0
Integrating a Partial Model into Model Free Reinforcement Learning 1 2014-04-28 328.43kB 58 0
Multi-Target Regression with Rule Ensembles 1 2014-04-28 328.30kB 55 0
Optimal Discovery with Probabilistic Expert Advice: Finite Time Analysis and Macroscopic Optimality 1 2014-04-28 327.20kB 53 0
One-Class SVMs for Document Classification (Kernel Machines Section) 1 2014-04-28 326.60kB 43 0
Support Vector Clustering (Kernel Machines Section) 1 2014-04-28 326.52kB 62 0
A Convergent Online Single Time Scale Actor Critic Algorithm 1 2014-04-28 325.61kB 110 0
Ranked Bandits in Metric Spaces: Learning Diverse Rankings over Large Document Collections 1 2014-04-28 325.55kB 53 0
Improving the Reliability of Causal Discovery from Small Data Sets Using Argumentation(Special Topic on Causality) 1 2014-04-28 325.20kB 60 0
Linear State-Space Models for Blind Source Separation 1 2014-04-28 325.02kB 52 0
PAC-Bayes Bounds with Data Dependent Priors 1 2014-04-28 325.02kB 61 0
Topology Selection in Graphical Models of Autoregressive Processes 1 2014-04-28 324.79kB 52 0
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning 1 2014-04-28 324.36kB 50 0
Concentration Inequalities for the Missing Mass and for Histogram Rule Error 1 2014-04-28 323.71kB 52 0
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design 1 2014-04-28 323.66kB 53 0
QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines 1 2014-04-28 322.12kB 55 0
Rational Kernels: Theory and Algorithms (Special Topic on Learning Theory) 1 2014-04-28 322.05kB 75 0
Sparse Single-Index Model 1 2014-04-28 321.56kB 58 0
Manifold Learning: The Price of Normalization 1 2014-04-28 320.12kB 49 0
Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models 1 2014-04-28 319.91kB 52 0
QuantMiner for Mining Quantitative Association Rules 1 2014-04-28 319.05kB 74 0
Noise Tolerant Variants of the Perceptron Algorithm 1 2014-04-28 318.94kB 83 0
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning 1 2014-04-28 317.95kB 51 0
Feature Selection for Unsupervised Learning 1 2014-04-28 317.56kB 612+ 0
Estimation of Gradients and Coordinate Covariation in Classification 1 2014-04-28 317.44kB 53 0
Similarity-based Clustering by Left-Stochastic Matrix Factorization 1 2014-04-28 317.14kB 53 0
Multi-class Protein Classification Using Adaptive Codes 1 2014-04-28 316.49kB 55 0
Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming 1 2014-04-28 316.40kB 92 0
The Rate of Convergence of AdaBoost 1 2014-04-28 314.88kB 591+ 0
Differential Privacy for Functions and Functional Data 1 2014-04-28 314.75kB 511+ 0
Exploiting Product Distributions to Identify Relevant Variables of Correlation Immune Functions 1 2014-04-28 314.36kB 631+ 0
Sparse Matrix Inversion with Scaled Lasso 1 2014-04-28 313.35kB 451+ 0
Least-Squares Policy Iteration 1 2014-04-28 312.97kB 65 0
Tree Induction vs. Logistic Regression: A Learning-Curve Analysis 1 2014-04-28 309.92kB 71 0
Support Vector Machine Active Learning with Applications to Text Classification 1 2014-04-28 309.68kB 7,4048+ 0
Rademacher and Gaussian Complexities: Risk Bounds and Structural Results 1 2014-04-28 309.45kB 52 0
A Geometric Approach to Multi-Criterion Reinforcement Learning 1 2014-04-28 309.35kB 75 0
Optimal Solutions for Sparse Principal Component Analysis 1 2014-04-28 308.86kB 53 0
Shallow Parsing using Specialized HMMs 1 2014-04-28 308.35kB 53 0
A Graphical Representation of Equivalence Classes of AMP Chain Graphs 1 2014-04-28 308.10kB 53 0
SVMTorch: Support Vector Machines for Large-Scale Regression Problems (Kernel Machines Section) 1 2014-04-28 307.97kB 581+ 0
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization 1 2014-04-28 307.88kB 56 0
Randomized Online PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension 1 2014-04-28 306.69kB 67 0
HPB: A Model for Handling BN Nodes with High Cardinality Parents 1 2014-04-28 306.21kB 38 0
Causal Graph Based Decomposition of Factored MDPs 1 2014-04-28 305.91kB 59 0
Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for Large-Scale SVM Training 1 2014-04-28 304.58kB 62 0
Multi-Stage Multi-Task Feature Learning 1 2014-04-28 304.00kB 611+ 0
Nearest Neighbor Clustering: A Baseline Method for Consistent Clustering with Arbitrary Objective Functions 1 2014-04-28 303.53kB 53 0
Generalized Power Method for Sparse Principal Component Analysis 1 2014-04-28 303.39kB 65 0
Double Updating Online Learning 1 2014-04-28 302.62kB 57 0
DEAP: Evolutionary Algorithms Made Easy 1 2014-04-28 302.54kB 93 0
Harnessing the Expertise of 70,000 Human Editors: Knowledge-Based Feature Generation for Text Categorization 1 2014-04-28 302.31kB 68 0
A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification (Kernel Machines Section) 1 2014-04-28 301.96kB 104 0
Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes 1 2014-04-28 300.92kB 57 0
On the Necessity of Irrelevant Variables 1 2014-04-28 299.76kB 661+ 0
Classification with a Reject Option using a Hinge Loss 1 2014-04-28 299.31kB 55 0
Weisfeiler-Lehman Graph Kernels 1 2014-04-28 299.28kB 51 0
Value Regularization and Fenchel Duality 1 2014-04-28 299.19kB 48 0
Data-dependent margin-based generalization bounds for classification 1 2014-04-28 298.60kB 56 0
Quasi-Newton Method: A New Direction 1 2014-04-28 297.81kB 70 0
Permutation Tests for Studying Classifier Performance 1 2014-04-28 295.57kB 54 0
Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure 1 2014-04-28 295.45kB 63 0
Clustering on the Unit Hypersphere using von Mises-Fisher Distributions 1 2014-04-28 295.34kB 50 0
Analysis of Variance of Cross-Validation Estimators of the Generalization Error 1 2014-04-28 294.94kB 49 0
Dependency Networks for Inference, Collaborative Filtering, and Data Visualization 1 2014-04-28 294.25kB 64 0
Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective 1 2014-04-28 293.98kB 77 0
Multi-task Regression using Minimal Penalties 1 2014-04-28 293.14kB 522+ 0
-MDPs: Learning in Varying Environments 1 2014-04-28 292.58kB 59 0
Max-margin Classification of Data with Absent Features 1 2014-04-28 292.24kB 57 0
A New Algorithm for Estimating the Effective Dimension-Reduction Subspace 1 2014-04-28 292.05kB 1002+ 0
A Rotation Test to Verify Latent Structure 1 2014-04-28 291.84kB 57 0
Semi-Supervised Novelty Detection 1 2014-04-28 291.50kB 51 0
PREA: Personalized Recommendation Algorithms Toolkit 1 2014-04-28 290.79kB 1482+ 1
Finite-Sample Analysis of Least-Squares Policy Iteration 1 2014-04-28 290.03kB 533+ 0
Sparse Online Learning via Truncated Gradient 1 2014-04-28 287.28kB 491+ 0
On the Effectiveness of Laplacian Normalization for Graph Semi-supervised Learning 1 2014-04-28 287.25kB 451+ 0
Stationary Features and Cat Detection 1 2014-04-28 286.03kB 521+ 0
Task Clustering and Gating for Bayesian Multitask Learning 1 2014-04-28 285.47kB 741+ 0
On Boosting with Polynomially Bounded Distributions 1 2014-04-28 285.32kB 511+ 0
Fast Approximation of Matrix Coherence and Statistical Leverage 1 2014-04-28 285.26kB 501+ 0
Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data 1 2014-04-28 284.29kB 501+ 0
Expectation Consistent Approximate Inference 1 2014-04-28 284.26kB 501+ 0
Learning to Construct Fast Signal Processing Implementations 1 2014-04-28 283.99kB 63 0
Limitations of Learning Via Embeddings in Euclidean Half Spaces 1 2014-04-28 283.79kB 58 0
A Direct Method for Building Sparse Kernel Learning Algorithms 1 2014-04-28 282.87kB 60 0
Universal Kernel-Based Learning with Applications to Regular Languages(Special Topic on Mining and Learning with Graphs and Relations) 1 2014-04-28 282.09kB 56 0
A Multiple Instance Learning Strategy for Combating Good Word Attacks on Spam Filters 1 2014-04-28 281.48kB 61 0
Parameter Screening and Optimisation for ILP using Designed Experiments 1 2014-04-28 281.42kB 55 0
Lagrangian Support Vector Machines (Kernel Machines Section) 1 2014-04-28 280.39kB 109 0
Restricted Strong Convexity and Weighted Matrix Completion: Optimal Bounds with Noise 1 2014-04-28 280.20kB 57 0
Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining 1 2014-04-28 278.96kB 48 0
Efficient Program Synthesis Using Constraint Satisfaction in Inductive Logic Programming 1 2014-04-28 278.96kB 711+ 0
Models of Cooperative Teaching and Learning 1 2014-04-28 278.16kB 92 0
Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers 1 2014-04-28 277.92kB 62 0
One-Class Novelty Detection for Seizure Analysis from Intracranial EEG 1 2014-04-28 276.87kB 58 0
Divvy: Fast and Intuitive Exploratory Data Analysis 1 2014-04-28 276.72kB 1,5421+ 0
What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks 1 2014-04-28 276.21kB 93 0
Unsupervised Similarity-Based Risk Stratification for Cardiovascular Events Using Long-Term Time-Series Data 1 2014-04-28 276.07kB 56 0
Distributions of Angles in Random Packing on Spheres 1 2014-04-28 276.01kB 531+ 0
Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming 1 2014-04-28 275.99kB 84 0
On Inferring Application Protocol Behaviors in Encrypted Network Traffic (Special Topic on Machine Learning for Computer Security) 1 2014-04-28 275.12kB 103 0
New Techniques for Disambiguation in Natural Language and Their Application to Biological Text 1 2014-04-28 274.56kB 92 0
Machine Learning Methods for Predicting Failures in Hard Drives: A Multiple-Instance Application 1 2014-04-28 274.51kB 66 0
Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem 1 2014-04-28 274.08kB 63 0
Covariate Shift Adaptation by Importance Weighted Cross Validation 1 2014-04-28 273.84kB 46 0
Risk Bounds of Learning Processes for Lvy Processes 1 2014-04-28 273.29kB 57 0
Reinforcement Learning in Finite MDPs: PAC Analysis 1 2014-04-28 272.55kB 581+ 0
Learning Probabilistic Models: An Expected Utility Maximization Approach 1 2014-04-28 271.70kB 1821+ 0
Superior Guarantees for Sequential Prediction and Lossless Compression via Alphabet Decomposition 1 2014-04-28 271.67kB 54 0
Large Margin Hierarchical Classification with Mutually Exclusive Class Membership 1 2014-04-28 269.39kB 48 0
Multi-class Discriminant Kernel Learning via Convex Programming(Special Topic on Model Selection) 1 2014-04-28 269.35kB 63 0
Gaussian Processes for Ordinal Regression 1 2014-04-28 269.26kB 48 0
A Max-Norm Constrained Minimization Approach to 1-Bit Matrix Completion 1 2014-04-28 269.06kB 501+ 0
Using Local Dependencies within Batches to Improve Large Margin Classifiers 1 2014-04-28 268.98kB 53 0
A Survey of Accuracy Evaluation Metrics of Recommendation Tasks 1 2014-04-28 267.62kB 501+ 0
Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2 1 2014-04-28 267.56kB 53 0
Algorithms for Learning Kernels Based on Centered Alignment 1 2014-04-28 266.60kB 71 0
Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation 1 2014-04-28 266.31kB 57 0
Model Selection in Kernel Based Regression using the Influence Function(Special Topic on Model Selection) 1 2014-04-28 264.41kB 56 0
Estimation and Selection via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications 1 2014-04-28 264.28kB 52 0
Magic Moments for Structured Output Prediction 1 2014-04-28 264.13kB 67 0
Message-Passing Algorithms for Quadratic Minimization 1 2014-04-28 264.04kB 661+ 0
Pairwise Support Vector Machines and their Application to Large Scale Problems 1 2014-04-28 262.89kB 75 0
Data-driven Calibration of Penalties for Least-Squares Regression 1 2014-04-28 262.75kB 53 0
Generalization Bounds for Ranking Algorithms via Algorithmic Stability 1 2014-04-28 262.74kB 65 0
Ensemble Pruning Via Semi-definite Programming (Special Topic on Machine Learning and Optimization) 1 2014-04-28 262.39kB 65 0
Robust Approximate Bilinear Programming for Value Function Approximation 1 2014-04-28 262.34kB 61 0
Learning Acyclic Probabilistic Circuits Using Test Paths 1 2014-04-28 261.89kB 50 0
Refinable Kernels 1 2014-04-28 261.78kB 501+ 0
Large Margin Semi-supervised Learning 1 2014-04-28 260.99kB 48 0
Hash Kernels for Structured Data 1 2014-04-28 260.30kB 64 0
Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data 1 2014-04-28 259.93kB 591+ 0
Incremental Support Vector Learning: Analysis, Implementation and Applications (Special Topic on Machine Learning and Optimization) 1 2014-04-28 259.91kB 56 0
Online Learning of Multiple Tasks with a Shared Loss 1 2014-04-28 259.62kB 54 0
Generalization Bounds for the Area Under the ROC Curve 1 2014-04-28 259.60kB 54 0
Introduction to Special Issue on Independent Components Analysis 1 2014-04-28 259.60kB 70 0
Bayesian Network Learning with Parameter Constraints (Special Topic on Machine Learning and Optimization) 1 2014-04-28 259.55kB 70 0
Inductive Synthesis of Functional Programs: An Explanation Based Generalization Approach (Special Topic on Inductive Programming) 1 2014-04-28 258.89kB 68 0
Consistency and Convergence Rates of One-Class SVMs and Related Algorithms 1 2014-04-28 258.63kB 53 0
Learning a Robust Relevance Model for Search Using Kernel Methods 1 2014-04-28 256.74kB 62 0
Variable Selection in High-dimensional Varying-coefficient Models with Global Optimality 1 2014-04-28 256.72kB 60 0
Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains 1 2014-04-28 256.29kB 62 0
Feature Discovery in Non-Metric Pairwise Data 1 2014-04-28 255.36kB 572+ 0
A Unifying View of Sparse Approximate Gaussian Process Regression 1 2014-04-28 254.63kB 48 0
Efficient Computation of Gapped Substring Kernels on Large Alphabets 1 2014-04-28 254.61kB 47 0
Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming (Special Topic on Machine Learning and Optimization) 1 2014-04-28 254.49kB 64 0
Visualizing Data using t-SNE 1 2014-04-28 254.27kB 44 0
Tree-Structured Neural Decoding 1 2014-04-28 254.19kB 67 0
Unsupervised Supervised Learning II: Margin-Based Classification Without Labels 1 2014-04-28 253.97kB 531+ 0
Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space (Kernel Machines Section) 1 2014-04-28 253.43kB 81 0
Incremental Sigmoid Belief Networks for Grammar Learning 1 2014-04-28 252.38kB 661+ 0
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks 1 2014-04-28 252.23kB 53 0
Maximum-Gain Working Set Selection for SVMs (Special Topic on Machine Learning and Optimization) 1 2014-04-28 252.09kB 50 0
Model Averaging for Prediction with Discrete Bayesian Networks 1 2014-04-28 251.42kB 271 0
Consistent Selection of Tuning Parameters via Variable Selection Stability 1 2014-04-28 251.37kB 561+ 0
Managing Diversity in Regression Ensembles 1 2014-04-28 251.19kB 64 0
Multi-Task Learning for Classification with Dirichlet Process Priors 1 2014-04-28 250.97kB 48 0
Inducing Grammars from Sparse Data Sets: A Survey of Algorithms and Results 1 2014-04-28 249.82kB 472+ 0
Recommender Systems Using Linear Classifiers 1 2014-04-28 248.12kB 112 0
Operator Norm Convergence of Spectral Clustering on Level Sets 1 2014-04-28 247.31kB 51 0
Importance Sampling for Continuous Time Bayesian Networks 1 2014-04-28 246.97kB 831+ 0
Stable and Efficient Gaussian Process Calculations 1 2014-04-28 246.97kB 46 0
Learning Permutations with Exponential Weights 1 2014-04-28 246.97kB 45 0
A Multi-Stage Framework for Dantzig Selector and LASSO 1 2014-04-28 246.48kB 472+ 0
Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models 1 2014-04-28 246.47kB 48 0
Ranking the Best Instances 1 2014-04-28 245.84kB 51 0
On Inclusion-Driven Learning of Bayesian Networks 1 2014-04-28 245.65kB 462+ 0
Greedy Algorithms for Classification -- Consistency, Convergence Rates, and Adaptivity 1 2014-04-28 245.62kB 89 0
Reproducing Kernel Banach Spaces for Machine Learning 1 2014-04-28 245.38kB 48 0
A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin 1 2014-04-28 244.70kB 55 0
Building Support Vector Machines with Reduced Classifier Complexity (Special Topic on Machine Learning and Optimization) 1 2014-04-28 244.17kB 68 0
Estimation of Sparse Binary Pairwise Markov Networks using Pseudo-likelihoods 1 2014-04-28 243.92kB 45 0
Classifier Selection using the Predicate Depth 1 2014-04-28 243.22kB 571+ 0
Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection 1 2014-04-28 243.08kB 50 0
A Neural Probabilistic Language Model 1 2014-04-28 242.24kB 1511+ 0
Sparse Boosting 1 2014-04-28 242.10kB 47 0
A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization 1 2014-04-28 242.08kB 51 0
Regularization Techniques for Learning with Matrices 1 2014-04-28 242.01kB 51 0
Matching Words and Pictures 1 2014-04-28 241.45kB 63 0
Large Margin Methods for Structured and Interdependent Output Variables 1 2014-04-28 240.67kB 49 0
Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance 1 2014-04-28 240.55kB 60 0
Cluster Analysis: Unsupervised Learning via Supervised Learning with a Non-convex Penalty 1 2014-04-28 240.33kB 751+ 0
Beyond Independent Components: Trees and Clusters 1 2014-04-28 239.11kB 61 0
Refinement of Reproducing Kernels 1 2014-04-28 239.00kB 52 0
Learning From Crowds 1 2014-04-28 238.95kB 120 0
Active Coevolutionary Learning of Deterministic Finite Automata 1 2014-04-28 238.25kB 60 0
Distance Metric Learning with Eigenvalue Optimization 1 2014-04-28 238.08kB 562+ 0
PAC-learnability of Probabilistic Deterministic Finite State Automata 1 2014-04-28 238.05kB 571+ 0
Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary -Mixing Processes 1 2014-04-28 237.71kB 63 0
Designing Committees of Models through Deliberate Weighting of Data Points 1 2014-04-28 237.35kB 73 0
Combining PAC-Bayesian and Generic Chaining Bounds 1 2014-04-28 237.12kB 50 0
A Bayesian Approximation Method for Online Ranking 1 2014-04-28 236.16kB 68 0
Variable Sparsity Kernel Learning 1 2014-04-28 236.15kB 49 0
Consistency of Random Forests and Other Averaging Classifiers 1 2014-04-28 235.86kB 61 0
Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space (Kernel Machines Section) 1 2014-04-28 235.16kB 54 0
Behavioral Shaping for Geometric Concepts 1 2014-04-28 234.07kB 611+ 0
Active Learning of Causal Networks with Intervention Experiments and Optimal Designs(Special Topic on Causality) 1 2014-04-28 233.01kB 57 0
Probabilistic Characterization of Random Decision Trees 1 2014-04-28 231.52kB 56 0
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels 1 2014-04-28 231.51kB 1841+ 0
Nonlinear Models Using Dirichlet Process Mixtures 1 2014-04-28 231.28kB 59 0
Markov Properties for Linear Causal Models with Correlated Errors(Special Topic on Causality) 1 2014-04-28 231.17kB 53 0
Change Point Problems in Linear Dynamical Systems 1 2014-04-28 230.78kB 74 0
Trading Regret for Efficiency: Online Convex Optimization with Long Term Constraints 1 2014-04-28 230.61kB 87 0
Use of the Zero-Norm with Linear Models and Kernel Methods (Kernel Machines Section) 1 2014-04-28 230.27kB 58 0
On Learning with Integral Operators 1 2014-04-28 229.28kB 68 0
Characterizing the Function Space for Bayesian Kernel Models 1 2014-04-28 228.85kB 52 0
A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior 1 2014-04-28 227.71kB 61 0
Computable Shell Decomposition Bounds 1 2014-04-28 226.90kB 55 0
Learnability of Gaussians with Flexible Variances 1 2014-04-28 226.30kB 50 0
Learning Rates for Q-learning 1 2014-04-28 225.65kB 50 0
PAC-Bayes Risk Bounds for Stochastic Averages and Majority Votes of Sample-Compressed Classifiers 1 2014-04-28 225.56kB 49 0
SVDFeature: A Toolkit for Feature-based Collaborative Filtering 1 2014-04-28 224.99kB 52 0
Infinite- Limits For Tikhonov Regularization 1 2014-04-28 223.74kB 53 0
Consistency and Localizability 1 2014-04-28 223.51kB 47 0
Integrating Nave Bayes and FOIL 1 2014-04-28 223.18kB 51 0
Model Selection: Beyond the BayesianFrequentist Divide 1 2014-04-28 222.72kB 47 0
Algorithms and Hardness Results for Parallel Large Margin Learning 1 2014-04-28 222.17kB 59 0
Learning the Kernel Function via Regularization 1 2014-04-28 221.87kB 53 0
Efficient Feature Selection via Analysis of Relevance and Redundancy 1 2014-04-28 221.16kB 732+ 0
Large Scale Transductive SVMs 1 2014-04-28 220.63kB 53 0
A Simulation-Based Algorithm for Ergodic Control of Markov Chains Conditioned on Rare Events 1 2014-04-28 219.60kB 94 0
On the Convergence of Maximum Variance Unfolding 1 2014-04-28 219.46kB 50 0
Concentration Bounds for Unigram Language Models 1 2014-04-28 219.42kB 46 0
Efficient Algorithms for Conditional Independence Inference 1 2014-04-28 218.06kB 57 0
Energy-Based Models for Sparse Overcomplete Representations 1 2014-04-28 218.01kB 60 0
Active Learning to Recognize Multiple Types of Plankton 1 2014-04-28 216.98kB 60 0
WEKAExperiences with a Java Open-Source Project 1 2014-04-28 216.11kB 153 0
Some Properties of Regularized Kernel Methods 1 2014-04-28 215.97kB 51 0
Efficient Structure Learning of Bayesian Networks using Constraints 1 2014-04-28 215.95kB 50 0
On the Importance of Small Coordinate Projections 1 2014-04-28 215.55kB 54 0
No Unbiased Estimator of the Variance of K-Fold Cross-Validation 1 2014-04-28 214.69kB 681+ 0
Union Support Recovery in Multi-task Learning 1 2014-04-28 212.21kB 52 0
Stability and Generalization 1 2014-04-28 210.94kB 57 0
Sampling Methods for the Nystrm Method 1 2014-04-28 210.92kB 491+ 0
Reinforcement Learning with Factored States and Actions 1 2014-04-28 210.67kB 65 0
Online Learning with Samples Drawn from Non-identical Distributions 1 2014-04-28 210.13kB 41 0
An Efficient Boosting Algorithm for Combining Preferences 1 2014-04-28 208.76kB 842+ 0
Preference Elicitation and Query Learning (Special Topic on Learning Theory) 1 2014-04-28 208.64kB 67 0
Stability Bounds for Stationary -mixing and -mixing Processes 1 2014-04-28 207.79kB 53 0
A Binary-Classification-Based Metric between Time-Series Distributions and Its Use in Statistical and Learning Problems 1 2014-04-28 207.38kB 611+ 0
Graph-Based Hierarchical Conceptual Clustering 1 2014-04-28 207.11kB 55 0
Learning to Detect and Classify Malicious Executables in the Wild (Special Topic on Machine Learning for Computer Security) 1 2014-04-28 206.73kB 126 0
Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems 1 2014-04-28 206.08kB 48 0
Some Theory for Generalized Boosting Algorithms 1 2014-04-28 205.60kB 60 0
High-dimensional Variable Selection with Sparse Random Projections: Measurement Sparsity and Statistical Efficiency 1 2014-04-28 205.18kB 60 0
Polynomial-Delay Enumeration of Monotonic Graph Classes 1 2014-04-28 204.99kB 54 0
On the Complexity of Learning Lexicographic Strategies 1 2014-04-28 203.25kB 47 0
Learning Control Knowledge for Forward Search Planning 1 2014-04-28 203.05kB 621+ 0
Text Classification using String Kernels 1 2014-04-28 202.03kB 67 0
Rate Minimaxity of the Lasso and Dantzig Selector for the lq Loss in lr Balls 1 2014-04-28 201.79kB 51 0
Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination(Special Topic on Model Selection) 1 2014-04-28 200.94kB 601+ 0
Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems (Special Topic on Machine Learning and Optimization) 1 2014-04-28 200.30kB 173 0
Lower Bounds and Selectivity of Weak-Consistent Policies in Stochastic Multi-Armed Bandit Problem 1 2014-04-28 200.24kB 481+ 0
Dimensionality Reduction via Sparse Support Vector Machines (Kernel Machines Section) 1 2014-04-28 200.16kB 48 0
Matrix Completion from Noisy Entries 1 2014-04-28 199.96kB 70 0
Learning Approximate Sequential Patterns for Classification 1 2014-04-28 199.95kB 50 0
Text Chunking based on a Generalization of Winnow 1 2014-04-28 199.64kB 581+ 0
Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm 1 2014-04-28 199.05kB 73 0
On the Rate of Convergence of Regularized Boosting Classifiers 1 2014-04-28 198.89kB 57 0
Information Rates of Nonparametric Gaussian Process Methods 1 2014-04-28 198.20kB 50 0
Aggregation of SVM Classifiers Using Sobolev Spaces 1 2014-04-28 197.61kB 54 0
Learning Similarity with Operator-valued Large-margin Classifiers 1 2014-04-28 197.46kB 50 0
Bayesian Quadratic Discriminant Analysis 1 2014-04-28 196.90kB 53 0
When Is There a Representer Theorem? Vector Versus Matrix Regularizers 1 2014-04-28 196.77kB 46 0
Blind Source Recovery: A Framework in the State Space 1 2014-04-28 196.76kB 57 0
Learning with Decision Lists of Data-Dependent Features 1 2014-04-28 196.48kB 57 0
The Minimum Error Minimax Probability Machine 1 2014-04-28 196.39kB 622+ 0
Ultrahigh Dimensional Feature Selection: Beyond The Linear Model 1 2014-04-28 195.89kB 52 0
Hit Miss Networks with Applications to Instance Selection 1 2014-04-28 195.86kB 55 0
Sufficient Dimensionality Reduction (Kernel Machines Section) 1 2014-04-28 195.34kB 64 0
Learning Theory Approach to Minimum Error Entropy Criterion 1 2014-04-28 194.96kB 761+ 0
Active Learning via Perfect Selective Classification 1 2014-04-28 194.66kB 60 0
Multiclass Boosting for Weak Classifiers 1 2014-04-28 194.47kB 45 0
Nearly Uniform Validation Improves Compression-Based Error Bounds 1 2014-04-28 194.19kB 47 0
Learning Halfspaces with Malicious Noise 1 2014-04-28 193.75kB 55 0
On the Rate of Convergence of the Bagged Nearest Neighbor Estimate 1 2014-04-28 193.66kB 54 0
The Learning-Curve Sampling Method Applied to Model-Based Clustering 1 2014-04-28 193.58kB 65 0
Kernel-Based Learning of Hierarchical Multilabel Classification Models (Special Topic on Machine Learning and Optimization) 1 2014-04-28 193.09kB 57 0
Learning Recursive Control Programs from Problem Solving (Special Topic on Inductive Programming) 1 2014-04-28 192.33kB 67 0
Online Learning with Sample Path Constraints 1 2014-04-28 192.14kB 591+ 0
Maximum Margin Algorithms with Boolean Kernels 1 2014-04-28 192.07kB 55 0
A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians 1 2014-04-28 192.02kB 54 0
Adaptive Online Prediction by Following the Perturbed Leader 1 2014-04-28 191.61kB 50 0
An Algorithm for Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity 1 2014-04-28 190.69kB 88 0
On the Proper Learning of Axis-Parallel Concepts 1 2014-04-28 190.23kB 502+ 0
Dimension Independent Similarity Computation 1 2014-04-28 190.02kB 49 0
A Risk Comparison of Ordinary Least Squares vs Ridge Regression 1 2014-04-28 189.76kB 72 0
Robustness and Regularization of Support Vector Machines 1 2014-04-28 189.27kB 651+ 0
Uniform Object Generation for Optimizing One-class Classifiers (Kernel Machines Section) 1 2014-04-28 188.01kB 48 0
Classification with Gaussians and Convex Loss 1 2014-04-28 188.00kB 48 0
Efficient Learning with Partially Observed Attributes 1 2014-04-28 187.32kB 53 0
Universal Algorithms for Learning Theory Part I : Piecewise Constant Functions 1 2014-04-28 187.31kB 77 0
Neyman-Pearson Classification, Convexity and Stochastic Constraints 1 2014-04-28 187.16kB 55 0
Better Algorithms for Benign Bandits 1 2014-04-28 186.30kB 55 0
Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling 1 2014-04-28 186.16kB 67 0
The Sample Complexity of Dictionary Learning 1 2014-04-28 185.59kB 60 0
JNCC2: The Java Implementation Of Naive Credal Classifier 2(Machine Learning Open Source Software Paper) 1 2014-04-28 184.93kB 134 0
The Entire Regularization Path for the Support Vector Machine 1 2014-04-28 184.62kB 54 0
Worst-Case Analysis of Selective Sampling for Linear Classification 1 2014-04-28 184.34kB 451+ 0
Bottom-Up Relational Learning of Pattern Matching Rules for Information Extraction 1 2014-04-28 184.33kB 80 0
AdaBoost is Consistent 1 2014-04-28 184.12kB 56 0
Jstacs: A Java Framework for Statistical Analysis and Classification of Biological Sequences 1 2014-04-28 184.05kB 1071+ 0
MLPs (Mono-Layer Polynomials and Multi-Layer Perceptrons) for Nonlinear Modeling 1 2014-04-28 183.69kB 622+ 0
New Algorithms for Efficient High-Dimensional Nonparametric Classification 1 2014-04-28 183.68kB 63 0
Incremental Algorithms for Hierarchical Classification 1 2014-04-28 183.49kB 54 0
Properties of Monotonic Effects on Directed Acyclic Graphs 1 2014-04-28 181.59kB 48 0
A Classification Framework for Anomaly Detection 1 2014-04-28 181.54kB 781+ 0
On the Learnability of Shuffle Ideals 1 2014-04-28 181.53kB 511+ 0
Incorporating Functional Knowledge in Neural Networks 1 2014-04-28 181.14kB 75 0
Measuring Differentiability: Unmasking Pseudonymous Authors 1 2014-04-28 179.22kB 50 0
Learning a Hidden Hypergraph 1 2014-04-28 178.94kB 61 0
Policy Search using Paired Comparisons 1 2014-04-28 178.54kB 53 0
Sparse Spectrum Gaussian Process Regression 1 2014-04-28 178.39kB 58 0
PC Algorithm for Nonparanormal Graphical Models 1 2014-04-28 177.77kB 1401+ 0
Stability of Randomized Learning Algorithms 1 2014-04-28 177.76kB 63 0
Marginal Likelihood Integrals for Mixtures of Independence Models 1 2014-04-28 177.75kB 481+ 0
Benefitting from the Variables that Variable Selection Discards 1 2014-04-28 176.22kB 502+ 0
Analysis of Perceptron-Based Active Learning 1 2014-04-28 176.01kB 63 0
On the Nystrm Method for Approximating a Gram Matrix for Improved Kernel-Based Learning 1 2014-04-28 174.96kB 47 0
On the Consistency of Multiclass Classification Methods (Special Topic on the Conference on Learning Theory 2005) 1 2014-04-28 174.76kB 58 0
The Sample Complexity of Exploration in the Multi-Armed Bandit Problem (Special Topic on Learning Theory) 1 2014-04-28 174.52kB 67 0
Computing Maximum Likelihood Estimates in Recursive Linear Models with Correlated Errors 1 2014-04-28 174.47kB 200 0
Exact Bayesian Structure Discovery in Bayesian Networks 1 2014-04-28 173.90kB 62 0
On Model Selection Consistency of Lasso 1 2014-04-28 172.94kB 471+ 0
Convergence Theorems for Generalized Alternating Minimization Procedures 1 2014-04-28 170.83kB 51 0
Concave Learners for Rankboost 1 2014-04-28 170.76kB 47 0
Model Monitor (M2): Evaluating, Comparing, and Monitoring Models(Machine Learning Open Source Software Paper) 1 2014-04-28 169.71kB 62 0
Weather Data Mining Using Independent Component Analysis 1 2014-04-28 168.93kB 100 0
Consistency of Trace Norm Minimization 1 2014-04-28 168.85kB 562+ 0
The Dynamics of AdaBoost: Cyclic Behavior and Convergence of Margins 1 2014-04-28 168.45kB 63 0
Speedup Learning for Repair-based Search by Identifying Redundant Steps 1 2014-04-28 167.45kB 56 0
On-Line Sequential Bin Packing 1 2014-04-28 166.10kB 59 0
Sources of Success for Boosted Wrapper Induction 1 2014-04-28 166.05kB 512+ 0
Efficient and Effective Visual Codebook Generation Using Additive Kernels 1 2014-04-28 165.80kB 57 0
Discriminative Learning Under Covariate Shift 1 2014-04-28 165.70kB 471+ 0
The arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets 1 2014-04-28 165.06kB 55 0
Preference Elicitation via Theory Refinement 1 2014-04-28 164.76kB 52 0
Inner Product Spaces for Bayesian Networks 1 2014-04-28 164.61kB 51 0
Stability Properties of Empirical Risk Minimization over Donsker Classes 1 2014-04-28 164.35kB 48 0
Learning Multiple Tasks with Kernel Methods 1 2014-04-28 164.09kB 85 0
Streamwise Feature Selection 1 2014-04-28 163.86kB 55 0
Deterministic Error Analysis of Support Vector Regression and Related Regularized Kernel Methods 1 2014-04-28 163.77kB 571+ 0
From External to Internal Regret (Special Topic on the Conference on Learning Theory 2005) 1 2014-04-28 163.17kB 581+ 0
An Error Bound Based on a Worst Likely Assignment 1 2014-04-28 163.13kB 481+ 0
Graphical Models for Structured Classification, with an Application to Interpreting Images of Protein Subcellular Location Patterns 1 2014-04-28 162.58kB 591+ 0
On Nearest-Neighbor Error-Correcting Output Codes with Application to All-Pairs Multiclass Support Vector Machines 1 2014-04-28 161.92kB 591+ 0
Generalization Error Bounds for Bayesian Mixture Algorithms 1 2014-04-28 160.18kB 531+ 0
Ranking Individuals by Group Comparisons 1 2014-04-28 158.95kB 563+ 0
A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs 1 2014-04-28 157.28kB 611+ 0
Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant Analysis 1 2014-04-28 156.31kB 62 0
General Polynomial Time Decomposition Algorithms (Special Topic on the Conference on Learning Theory 2005) 1 2014-04-28 154.04kB 69 0
Support Vector Machinery for Infinite Ensemble Learning 1 2014-04-28 153.85kB 53 0
Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters (Special Topic on Model Selection) 1 2014-04-28 153.71kB 55 0
Restricted Eigenvalue Properties for Correlated Gaussian Designs 1 2014-04-28 153.45kB 58 0
Distance-Based Classification with Lipschitz Functions (Special Topic on Learning Theory) 1 2014-04-28 153.01kB 60 0
Combining Knowledge from Different Sources in Causal Probabilistic Models 1 2014-04-28 152.73kB 59 0
Knowledge-Based Kernel Approximation 1 2014-04-28 152.55kB 841+ 0
On Spectral Learning 1 2014-04-28 152.33kB 51 0
Learning Monotone DNF from a Teacher that Almost Does Not Answer Membership Queries 1 2014-04-28 151.73kB 542+ 0
SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent 1 2014-04-28 151.45kB 43 0
Asymptotics in Empirical Risk Minimization 1 2014-04-28 150.53kB 50 0
Training and Testing Low-degree Polynomial Data Mappings via Linear SVM 1 2014-04-28 150.51kB 63 0
Polynomial Identification in the Limit of Substitutable Context-free Languages 1 2014-04-28 150.26kB 46 0
Image Categorization by Learning and Reasoning with Regions 1 2014-04-28 149.86kB 58 0
New Horn Revision Algorithms 1 2014-04-28 149.38kB 49 0
Learning from Examples as an Inverse Problem 1 2014-04-28 149.25kB 62 0
Consistent Model Selection Criteria on High Dimensions 1 2014-04-28 147.59kB 50 0
Entropy Inference and the James-Stein Estimator, with Application to Nonlinear Gene Association Networks 1 2014-04-28 147.29kB 53 0
Structured Sparsity and Generalization 1 2014-04-28 146.96kB 54 0
Sparseness vs Estimating Conditional Probabilities: Some Asymptotic Results 1 2014-04-28 146.64kB 51 0
Machine Learning with Data Dependent Hypothesis Classes 1 2014-04-28 145.27kB 57 0
The em Algorithm for Kernel Matrix Completion with Auxiliary Data 1 2014-04-28 144.75kB 83 0
Learning over Sets using Kernel Principal Angles (Kernel Machines Section) 1 2014-04-28 144.51kB 48 0
Subgroup Analysis via Recursive Partitioning 1 2014-04-28 143.83kB 47 0
On the Mutual Nearest Neighbors Estimate in Regression 1 2014-04-28 142.78kB 441+ 0
Fast String Kernels using Inexact Matching for Protein Sequences 1 2014-04-28 142.59kB 672+ 0
Ranking a Random Feature for Variable and Feature Selection 1 2014-04-28 142.45kB 622+ 0
Mixed Membership Stochastic Blockmodels 1 2014-04-28 140.43kB 60 0
Application of Non Parametric Empirical Bayes Estimation to High Dimensional Classification 1 2014-04-28 140.39kB 43 0
Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation 1 2014-04-28 140.34kB 48 0
Universal Kernels 1 2014-04-28 140.17kB 739+ 0
Online Submodular Minimization 1 2014-04-28 140.14kB 51 0
Distributional Word Clusters vs. Words for Text Categorization (Kernel Machines Section) 1 2014-04-28 140.10kB 65 0
Learning to Select Features using their Properties 1 2014-04-28 137.76kB 65 0
Hybrid MPIOpenMP Parallel Linear Support Vector Machine Training 1 2014-04-28 133.81kB 57 0
Subgroup Discovery with CN2-SD 1 2014-04-28 133.49kB 60 0
Generalization from Observed to Unobserved Features by Clustering 1 2014-04-28 133.38kB 57 1
Separating Models of Learning from Correlated and Uncorrelated Data (Special Topic on the Conference on Learning Theory 2005) 1 2014-04-28 132.70kB 56 0
Path Kernels and Multiplicative Updates 1 2014-04-28 131.87kB 42 0
Comments on the "Core Vector Machines: Fast SVM Training on Very Large Data Sets" 1 2014-04-28 131.09kB 48 0
Selective Rademacher Penalization and Reduced Error Pruning of Decision Trees 1 2014-04-28 129.91kB 52 0
Toward Attribute Efficient Learning of Decision Lists and Parities 1 2014-04-28 129.72kB 50 0
Penalized Model-Based Clustering with Application to Variable Selection 1 2014-04-28 127.93kB 54 0
Linear Programs for Hypotheses Selection in Probabilistic Inference Models (Special Topic on Machine Learning and Optimization) 1 2014-04-28 127.43kB 661+ 0
Classification Methods with Reject Option Based on Convex Risk Minimization 1 2014-04-28 123.29kB 65 0
Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss 1 2014-04-28 122.78kB 53 0
Strong Limit Theorems for the Bayesian Scoring Criterion in Bayesian Networks 1 2014-04-28 120.69kB 58 0
The Interplay of Optimization and Machine Learning Research (Special Topic on Machine Learning and Optimization) 1 2014-04-28 118.18kB 68 0
Oger: Modular Learning Architectures For Large-Scale Sequential Processing 1 2014-04-28 114.32kB 53 0
Coupled Clustering: A Method for Detecting Structural Correspondence 1 2014-04-28 111.02kB 93 0
Dimension Reduction in Text Classification with Support Vector Machines 1 2014-04-28 107.39kB 67 0
Model-based Boosting 2.0 1 2014-04-28 103.27kB 68 0
On Relevant Dimensions in Kernel Feature Spaces 1 2014-04-28 102.56kB 48 0
Margin Trees for High-dimensional Classification 1 2014-04-28 102.52kB 54 0
R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning 1 2014-04-28 101.23kB 95 0
Relational Learning as Search in a Critical Region 1 2014-04-28 100.20kB 56 0
An Empirical Study of the Use of Relevance Information in Inductive Logic Programming 1 2014-04-28 97.69kB 68 0
Error-Correcting Output Codes Library 1 2014-04-28 95.19kB 58 0
Pattern for Python 1 2014-04-28 94.19kB 705 0
MOA: Massive Online Analysis 1 2014-04-28 82.21kB 62 0
Introduction to the Special Issue on Kernel Methods (Kernel Machines Section) 1 2014-04-28 81.05kB 55 0
GURLS: A Least Squares Library for Supervised Learning 1 2014-04-28 76.03kB 711+ 0
A Tutorial on Conformal Prediction 1 2014-04-28 75.34kB 69 0
BudgetedSVM: A Toolbox for Scalable SVM Approximations 1 2014-04-28 74.78kB 44 0
GPstuff: Bayesian Modeling with Gaussian Processes 1 2014-04-28 74.12kB 53 0
In Defense of One-Vs-All Classification 1 2014-04-28 73.11kB 542+ 0
PyBrain 1 2014-04-28 71.14kB 90 0
The Stationary Subspace Analysis Toolbox 1 2014-04-28 70.42kB 51 0
A C++ Template-Based Reinforcement Learning Library: Fitting the Code to the Mathematics 1 2014-04-28 70.37kB 1582+ 0
JKernelMachines: A Simple Framework for Kernel Machines 1 2014-04-28 69.75kB 461+ 0
MLPACK: A Scalable C++ Machine Learning Library 1 2014-04-28 68.23kB 1701+ 0
Tracking a Small Set of Experts by Mixing Past Posteriors 1 2014-04-28 64.74kB 59 0
Orange: Data Mining Toolbox in Python 1 2014-04-28 63.40kB 2931+ 0
Approximations for Binary Gaussian Process Classification 1 2014-04-28 62.86kB 67 0
A Topic Modeling Toolbox Using Belief Propagation 1 2014-04-28 61.47kB 58 0
Machine Learning for Computer Security(Special Topic on Machine Learning for Computer Security) 1 2014-04-28 59.94kB 1,021 0
Gaussian Processes for Machine Learning (GPML) Toolbox 1 2014-04-28 55.05kB 81 0
Finite-Time Bounds for Fitted Value Iteration 1 2014-04-28 54.73kB 52 0
RL-Glue: Language-Independent Software for Reinforcement-Learning Experiments(Machine Learning Open Source Software Paper) 1 2014-04-28 50.88kB 51 0
LPmade: Link Prediction Made Easy 1 2014-04-28 49.33kB 54 0
Trust Region Newton Method for Logistic Regression 1 2014-04-28 48.85kB 59 0
Optimization Techniques for Semi-Supervised Support Vector Machines 1 2014-04-28 48.17kB 59 0
MSVMpack: A Multi-Class Support Vector Machine Package 1 2014-04-28 46.01kB 52 0
GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression 1 2014-04-28 43.28kB 55 0
Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies 1 2014-04-28 43.19kB 901+ 0
Scikit-learn: Machine Learning in Python 1 2014-04-28 42.31kB 3,7105+ 0
Comment on "Robustness and Regularization of Support Vector Machines" by H. Xu et al. (Journal of Machine Learning Research, vol. 10, pp. 1485-1510, 2009) 1 2014-04-28 41.09kB 511+ 0
MULTIBOOST: A Multi-purpose Boosting Package 1 2014-04-28 40.06kB 601+ 0
The SHOGUN Machine Learning Toolbox 1 2014-04-28 37.24kB 1021+ 0
Python Environment for Bayesian Learning: Inferring the Structure of Bayesian Networks from Knowledge and Data(Machine Learning Open Source Software Paper) 1 2014-04-28 37.22kB 325 0
ML-Flex: A Flexible Toolbox for Performing Classification Analyses In Parallel 1 2014-04-28 37.01kB 65 0
NIMFA : A Python Library for Nonnegative Matrix Factorization 1 2014-04-28 35.81kB 1312+ 0
Continuous Time Bayesian Network Reasoning and Learning Engine 1 2014-04-28 34.13kB 98 0
FastInf: An Efficient Approximate Inference Library 1 2014-04-28 32.60kB 76 0
Multi-Agent Reinforcement Learning in Common Interest and Fixed Sum Stochastic Games: An Experimental Study 1 2014-04-28 31.04kB 73 0
Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions 1 2014-04-28 29.62kB 653+ 0
MULAN: A Java Library for Multi-Label Learning 1 2014-04-28 29.58kB 1183+ 0
Java-ML: A Machine Learning Library(Machine Learning Open Source Software Paper) 1 2014-04-28 28.92kB 93546+ 0
Introduction to the Special Topic on Grammar Induction, Representation of Language and Language Learning 1 2014-04-28 25.98kB 1,17046+ 0
Word-Sequence Kernels 1 2014-04-28 13.79kB 68 0
Introduction to the Special Issue on the Fusion of Domain Knowledge with Data for Decision Support 1 2014-04-28 11.70kB 67 0
ILP: A Short Look Back and a Longer Look Forward 1 2014-04-28 11.60kB 74 0
Multiple-Instance Learning of Real-Valued Data 1 2014-04-28 7.10kB 96139+ 1


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