 Kernel Independent Component Analysis
(Kernel Machines Section)
 Francis R. Bach, Michael I. Jordan;
3(Jul):148, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 Learning Monotone DNF from a Teacher that Almost Does Not Answer Membership Queries
 Nader H. Bshouty, Nadav Eiron;
3(Jul):4957, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 On the Convergence of Optimistic Policy Iteration
 John N. Tsitsiklis;
3(Jul):5972, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 Datadependent marginbased generalization bounds for classification
 András Antos, Balázs Kégl, Tamás Linder, Gábor Lugosi;
3(Jul):7398, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components
 Kwokleung Chan, TeWon Lee, Terrence J. Sejnowski;
3(Aug):99114, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 Learning Precise Timing with LSTM Recurrent Networks
 Felix A. Gers, Nicol N. Schraudolph, Jürgen Schmidhuber;
3(Aug):115143, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 εMDPs: Learning in Varying Environments
 István Szita, Bálint Takács, András Lörincz;
3(Aug):145174, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
[html]

 Algorithmic Luckiness
 Ralf Herbrich, Robert C. Williamson;
3(Sep):175212, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
errata: [pdf]
[ps.gz]
[ps]

 RMAX  A General Polynomial Time Algorithm for NearOptimal Reinforcement Learning
 Ronen I. Brafman, Moshe Tennenholtz;
3(Oct):213231, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 PACBayesian Generalisation Error Bounds for Gaussian Process Classification
(Kernel Machines Section)
 Matthias Seeger;
3(Oct):233269, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 On Online Learning of Decision Lists
 Ziv Nevo, Ran ElYaniv;
3(Oct):271301, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 Minimal Kernel Classifiers
(Kernel Machines Section)
 Glenn M. Fung, Olvi L. Mangasarian, Alexander J. Smola;
3(Nov):303321, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces
(Kernel Machines Section)
 Masashi Sugiyama, KlausRobert Müller;
3(Nov):323359, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 Introduction to the Special Issue on Computational Learning Theory
 Philip M. Long;
3(Nov):361362, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 Tracking a Small Set of Experts by Mixing Past Posteriors
 Olivier Bousquet, Manfred K. Warmuth;
3(Nov):363396, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 Using Confidence Bounds for ExploitationExploration Tradeoffs
 Peter Auer;
3(Nov):397422, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 Efficient Algorithms for Universal Portfolios
 Adam Kalai, Santosh Vempala;
3(Nov):423440, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 Limitations of Learning Via Embeddings in Euclidean Half Spaces
 Shai BenDavid, Nadav Eiron, Hans Ulrich Simon;
3(Nov):441461, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 Rademacher and Gaussian Complexities: Risk Bounds and Structural Results
 Peter L. Bartlett, Shahar Mendelson;
3(Nov):463482, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 On Boosting with Polynomially Bounded Distributions
 Nader H. Bshouty, Dmitry Gavinsky;
3(Nov):483506, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 Optimal Structure Identification With Greedy Search
 David Maxwell Chickering;
3(Nov):507554, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
erratum: [pdf]
[ps.gz]
[ps]

 A Robust Minimax Approach to Classification
 Gert R.G. Lanckriet, Laurent El Ghaoui, Chiranjib Bhattacharyya, Michael I. Jordan;
3(Dec):555582, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 Cluster Ensembles  A Knowledge Reuse Framework for Combining Multiple Partitions
 Alexander Strehl, Joydeep Ghosh;
3(Dec):583617, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 Special Issue on the Eighteenth International Conference on Machine Learning (ICML2001)
 Carla E. Brodley, Andrea P. Danyluk;
3(Dec):619620, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 Efficient Algorithms for Decision Tree Crossvalidation
 Hendrik Blockeel, Jan Struyf;
3(Dec):621650, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 MultipleInstance Learning of RealValued Data
 Daniel R. Dooly, Qi Zhang, Sally A. Goldman, Robert A. Amar;
3(Dec):651678, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 Learning Probabilistic Models of Link Structure
 Lisa Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar;
3(Dec):679707, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 The Representational Power of Discrete Bayesian Networks
 Charles X. Ling, Huajie Zhang;
3(Dec):709721, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 The Set Covering Machine
 Mario Marchand, John ShaweTaylor;
3(Dec):723746, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 Coupled Clustering: A Method for Detecting Structural Correspondence
 Zvika Marx, Ido Dagan, Joachim M. Buhmann, Eli Shamir;
3(Dec):747780, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
 Prasanth B. Nair, Arindam Choudhury, Andy J. Keane;
3(Dec):781801, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 Lyapunov Design for Safe Reinforcement Learning
 Theodore J. Perkins, Andrew G. Barto;
3(Dec):803832, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling
 Tobias Scheffer, Stefan Wrobel;
3(Dec):833862, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 Stopping Criterion for BoostingBased Data Reduction Techniques: from Binary to Multiclass Problem
 Marc Sebban, Richard Nock, Stéphane Lallich;
3(Dec):863885, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 Learning to Construct Fast Signal Processing Implementations
 Bryan Singer, Manuela Veloso;
3(Dec):887919, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 Policy Search using Paired Comparisons
 Malcolm J. A. Strens, Andrew W. Moore;
3(Dec):921950, 2002.
[abs]
[pdf]
[ps.gz]
[ps]

 Ultraconservative Online Algorithms for Multiclass Problems
 Koby Crammer, Yoram Singer;
3(Jan):951991, 2003.
[abs]
[pdf]
[ps.gz]
[ps]

 Latent Dirichlet Allocation
 David M. Blei, Andrew Y. Ng, Michael I. Jordan;
3(Jan):9931022, 2003.
[abs]
[pdf]
[ps.gz]
[ps]

 Introduction to the Special Issue on Machine Learning Methods for Text and Images
 Jaz Kandola, Thomas Hofmann, Tomaso Poggio, John ShaweTaylor;
3(Feb):10231024, 2003.
[abs]
[pdf]
[ps.gz]
[ps]

 A Family of Additive Online Algorithms for Category Ranking
 Koby Crammer, Yoram Singer;
3(Feb):10251058, 2003.
[abs]
[pdf]
[ps.gz]
[ps]

 WordSequence Kernels
 Nicola Cancedda, Eric Gaussier, Cyril Goutte, JeanMichel Renders;
3(Feb):10591082, 2003.
[abs]
[pdf]
[ps.gz]
[ps]

 Kernel Methods for Relation Extraction
 Dmitry Zelenko, Chinatsu Aone, Anthony Richardella;
3(Feb):10831106, 2003.
[abs]
[pdf]
[ps.gz]
[ps]

 Matching Words and Pictures
 Kobus Barnard, Pinar Duygulu, David Forsyth, Nando de Freitas,David M. Blei, Michael I. Jordan;
3(Feb):11071135, 2003.
[abs]
[pdf]
[ps.gz]
[ps]
[data]

 A Neural Probabilistic Language Model
 Yoshua Bengio, Réjean Ducharme, Pascal Vincent, Christian Jauvin;
3(Feb):11371155, 2003.
[abs]
[pdf]
[ps.gz]
[ps]

 An Introduction to Variable and Feature Selection
(Kernel Machines Section)
 Isabelle Guyon, André Elisseeff;
3(Mar):11571182, 2003.
[abs]
[pdf]
[ps.gz]
[ps]

 Distributional Word Clusters vs. Words for Text Categorization
(Kernel Machines Section)
 Ron Bekkerman, Ran ElYaniv, Naftali Tishby, Yoad Winter;
3(Mar):11831208, 2003.
[abs]
[pdf]
[ps.gz]
[ps]
[data] 
 Extensions to MetricBased Model Selection
 Yoshua Bengio, Nicolas Chapados;
3(Mar):12091227, 2003.
[abs]
[pdf]
[ps.gz]
[ps]

 Dimensionality Reduction via Sparse Support Vector Machines
(Kernel Machines Section)
 Jinbo Bi, Kristin Bennett, Mark Embrechts, Curt Breneman, Minghu Song;
3(Mar):12291243, 2003.
[abs]
[pdf]
[ps.gz]
[ps]
[data] 
 Benefitting from the Variables that Variable Selection Discards
 Rich Caruana, Virginia R. de Sa;
3(Mar):12451264, 2003.
[abs]
[pdf]
[ps.gz]
[ps]

 A Divisive InformationTheoretic Feature Clustering Algorithm for Text Classification
(Kernel Machines Section)
 Inderjit S. Dhillon, Subramanyam Mallela, Rahul Kumar;
3(Mar):12651287, 2003.
[abs]
[pdf]
[ps.gz]
[ps]

 An Extensive Empirical Study of Feature Selection Metrics for Text Classification
(Kernel Machines Section)
 George Forman;
3(Mar):12891305, 2003.
[abs]
[pdf]
[ps.gz]
[ps]
full paper with appendices: [pdf]
[ps.gz]
[ps]
[data] 
 Sufficient Dimensionality Reduction
(Kernel Machines Section)
 Amir Globerson, Naftali Tishby;
3(Mar):13071331, 2003.
[abs]
[pdf]
[ps.gz]
[ps]

 Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space
(Kernel Machines Section)
 Simon Perkins, Kevin Lacker, James Theiler;
3(Mar):13331356, 2003.
[abs]
[pdf]
[ps.gz]
[ps]
[data] 
 Variable Selection Using SVMbased Criteria
(Kernel Machines Section)
 Alain Rakotomamonjy;
3(Mar):13571370, 2003.
[abs]
[pdf]
[ps.gz]
[ps]
[data] 
 Overfitting in Making Comparisons Between Variable Selection Methods
 Juha Reunanen;
3(Mar):13711382, 2003.
[abs]
[pdf]
[ps.gz]
[ps]

 MLPs (MonoLayer Polynomials and MultiLayer Perceptrons) for Nonlinear Modeling
 Isabelle Rivals, Léon Personnaz;
3(Mar):13831398, 2003.
[abs]
[pdf]
[ps.gz]
[ps]
[data] 
 Ranking a Random Feature for Variable and Feature Selection
 Hervé Stoppiglia, Gérard Dreyfus, Rémi Dubois, Yacine Oussar;
3(Mar):13991414, 2003.
[abs]
[pdf]
[ps.gz]
[ps]

 Feature Extraction by NonParametric Mutual Information Maximization
(Kernel Machines Section)
 Kari Torkkola;
3(Mar):14151438, 2003.
[abs]
[pdf]
[ps.gz]
[ps]
[demos] 
 Use of the ZeroNorm with Linear Models and Kernel Methods
(Kernel Machines Section)
 Jason Weston, André Elisseeff, Bernhard Schölkopf, Mike Tipping;
3(Mar):14391461, 2003.
[abs]
[pdf]
[ps.gz]
[ps]
[data] 