- Kernel Independent Component Analysis
 (Kernel Machines Section)
- Francis R. Bach, Michael I. Jordan;
3(Jul):1-48, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- Learning Monotone DNF from a Teacher that Almost Does Not Answer Membership Queries
- Nader H. Bshouty, Nadav Eiron;
3(Jul):49-57, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- On the Convergence of Optimistic Policy Iteration
- John N. Tsitsiklis;
3(Jul):59-72, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- Data-dependent margin-based generalization bounds for classification
- András Antos, Balázs Kégl, Tamás Linder, Gábor Lugosi;
3(Jul):73-98, 2002.
[abs]
[pdf]
[ps.gz]
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- Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components
- Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski;
3(Aug):99-114, 2002.
[abs]
[pdf]
[ps.gz]
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- Learning Precise Timing with LSTM Recurrent Networks
- Felix A. Gers, Nicol N. Schraudolph, Jürgen Schmidhuber;
3(Aug):115-143, 2002.
[abs]
[pdf]
[ps.gz]
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- ε-MDPs: Learning in Varying Environments
- István Szita, Bálint Takács, András Lörincz;
3(Aug):145-174, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
[html]
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- Algorithmic Luckiness
- Ralf Herbrich, Robert C. Williamson;
3(Sep):175-212, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
errata: [pdf]
[ps.gz]
[ps]
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- R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
- Ronen I. Brafman, Moshe Tennenholtz;
3(Oct):213-231, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
(Kernel Machines Section)
- Matthias Seeger;
3(Oct):233-269, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- On Online Learning of Decision Lists
- Ziv Nevo, Ran El-Yaniv;
3(Oct):271-301, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
|
- Minimal Kernel Classifiers
(Kernel Machines Section)
- Glenn M. Fung, Olvi L. Mangasarian, Alexander J. Smola;
3(Nov):303-321, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces
(Kernel Machines Section)
- Masashi Sugiyama, Klaus-Robert Müller;
3(Nov):323-359, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- Introduction to the Special Issue on Computational Learning Theory
- Philip M. Long;
3(Nov):361-362, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- Tracking a Small Set of Experts by Mixing Past Posteriors
- Olivier Bousquet, Manfred K. Warmuth;
3(Nov):363-396, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- Using Confidence Bounds for Exploitation-Exploration Trade-offs
- Peter Auer;
3(Nov):397-422, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- Efficient Algorithms for Universal Portfolios
- Adam Kalai, Santosh Vempala;
3(Nov):423-440, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- Limitations of Learning Via Embeddings in Euclidean Half Spaces
- Shai Ben-David, Nadav Eiron, Hans Ulrich Simon;
3(Nov):441-461, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- Rademacher and Gaussian Complexities: Risk Bounds and Structural Results
- Peter L. Bartlett, Shahar Mendelson;
3(Nov):463-482, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- On Boosting with Polynomially Bounded Distributions
- Nader H. Bshouty, Dmitry Gavinsky;
3(Nov):483-506, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- Optimal Structure Identification With Greedy Search
- David Maxwell Chickering;
3(Nov):507-554, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
erratum: [pdf]
[ps.gz]
[ps]
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- A Robust Minimax Approach to Classification
- Gert R.G. Lanckriet, Laurent El Ghaoui, Chiranjib Bhattacharyya, Michael I. Jordan;
3(Dec):555-582, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions
- Alexander Strehl, Joydeep Ghosh;
3(Dec):583-617, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- Special Issue on the Eighteenth International Conference on Machine Learning (ICML2001)
- Carla E. Brodley, Andrea P. Danyluk;
3(Dec):619-620, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- Efficient Algorithms for Decision Tree Cross-validation
- Hendrik Blockeel, Jan Struyf;
3(Dec):621-650, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- Multiple-Instance Learning of Real-Valued Data
- Daniel R. Dooly, Qi Zhang, Sally A. Goldman, Robert A. Amar;
3(Dec):651-678, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- Learning Probabilistic Models of Link Structure
- Lisa Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar;
3(Dec):679-707, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- The Representational Power of Discrete Bayesian Networks
- Charles X. Ling, Huajie Zhang;
3(Dec):709-721, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- The Set Covering Machine
- Mario Marchand, John Shawe-Taylor;
3(Dec):723-746, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- Coupled Clustering: A Method for Detecting Structural Correspondence
- Zvika Marx, Ido Dagan, Joachim M. Buhmann, Eli Shamir;
3(Dec):747-780, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
- Prasanth B. Nair, Arindam Choudhury, Andy J. Keane;
3(Dec):781-801, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- Lyapunov Design for Safe Reinforcement Learning
- Theodore J. Perkins, Andrew G. Barto;
3(Dec):803-832, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling
- Tobias Scheffer, Stefan Wrobel;
3(Dec):833-862, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem
- Marc Sebban, Richard Nock, Stéphane Lallich;
3(Dec):863-885, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- Learning to Construct Fast Signal Processing Implementations
- Bryan Singer, Manuela Veloso;
3(Dec):887-919, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- Policy Search using Paired Comparisons
- Malcolm J. A. Strens, Andrew W. Moore;
3(Dec):921-950, 2002.
[abs]
[pdf]
[ps.gz]
[ps]
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- Ultraconservative Online Algorithms for Multiclass Problems
- Koby Crammer, Yoram Singer;
3(Jan):951-991, 2003.
[abs]
[pdf]
[ps.gz]
[ps]
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- Latent Dirichlet Allocation
- David M. Blei, Andrew Y. Ng, Michael I. Jordan;
3(Jan):993-1022, 2003.
[abs]
[pdf]
[ps.gz]
[ps]
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- Introduction to the Special Issue on Machine Learning Methods for Text and Images
- Jaz Kandola, Thomas Hofmann, Tomaso Poggio, John Shawe-Taylor;
3(Feb):1023-1024, 2003.
[abs]
[pdf]
[ps.gz]
[ps]
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- A Family of Additive Online Algorithms for Category Ranking
- Koby Crammer, Yoram Singer;
3(Feb):1025-1058, 2003.
[abs]
[pdf]
[ps.gz]
[ps]
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- Word-Sequence Kernels
- Nicola Cancedda, Eric Gaussier, Cyril Goutte, Jean-Michel Renders;
3(Feb):1059-1082, 2003.
[abs]
[pdf]
[ps.gz]
[ps]
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- Kernel Methods for Relation Extraction
- Dmitry Zelenko, Chinatsu Aone, Anthony Richardella;
3(Feb):1083-1106, 2003.
[abs]
[pdf]
[ps.gz]
[ps]
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- Matching Words and Pictures
- Kobus Barnard, Pinar Duygulu, David Forsyth, Nando de Freitas,David M. Blei, Michael I. Jordan;
3(Feb):1107-1135, 2003.
[abs]
[pdf]
[ps.gz]
[ps]
[data]
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- A Neural Probabilistic Language Model
- Yoshua Bengio, Réjean Ducharme, Pascal Vincent, Christian Jauvin;
3(Feb):1137-1155, 2003.
[abs]
[pdf]
[ps.gz]
[ps]
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- An Introduction to Variable and Feature Selection
(Kernel Machines Section)
- Isabelle Guyon, André Elisseeff;
3(Mar):1157-1182, 2003.
[abs]
[pdf]
[ps.gz]
[ps]
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- Distributional Word Clusters vs. Words for Text Categorization
(Kernel Machines Section)
- Ron Bekkerman, Ran El-Yaniv, Naftali Tishby, Yoad Winter;
3(Mar):1183-1208, 2003.
[abs]
[pdf]
[ps.gz]
[ps]
[data] |
- Extensions to Metric-Based Model Selection
- Yoshua Bengio, Nicolas Chapados;
3(Mar):1209-1227, 2003.
[abs]
[pdf]
[ps.gz]
[ps]
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- Dimensionality Reduction via Sparse Support Vector Machines
(Kernel Machines Section)
- Jinbo Bi, Kristin Bennett, Mark Embrechts, Curt Breneman, Minghu Song;
3(Mar):1229-1243, 2003.
[abs]
[pdf]
[ps.gz]
[ps]
[data] |
- Benefitting from the Variables that Variable Selection Discards
- Rich Caruana, Virginia R. de Sa;
3(Mar):1245-1264, 2003.
[abs]
[pdf]
[ps.gz]
[ps]
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- A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification
(Kernel Machines Section)
- Inderjit S. Dhillon, Subramanyam Mallela, Rahul Kumar;
3(Mar):1265-1287, 2003.
[abs]
[pdf]
[ps.gz]
[ps]
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- An Extensive Empirical Study of Feature Selection Metrics for Text Classification
(Kernel Machines Section)
- George Forman;
3(Mar):1289-1305, 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):1307-1331, 2003.
[abs]
[pdf]
[ps.gz]
[ps]
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- Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space
(Kernel Machines Section)
- Simon Perkins, Kevin Lacker, James Theiler;
3(Mar):1333-1356, 2003.
[abs]
[pdf]
[ps.gz]
[ps]
[data] |
- Variable Selection Using SVM-based Criteria
(Kernel Machines Section)
- Alain Rakotomamonjy;
3(Mar):1357-1370, 2003.
[abs]
[pdf]
[ps.gz]
[ps]
[data] |
- Overfitting in Making Comparisons Between Variable Selection Methods
- Juha Reunanen;
3(Mar):1371-1382, 2003.
[abs]
[pdf]
[ps.gz]
[ps]
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- MLPs (Mono-Layer Polynomials and Multi-Layer Perceptrons) for Nonlinear Modeling
- Isabelle Rivals, Léon Personnaz;
3(Mar):1383-1398, 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):1399-1414, 2003.
[abs]
[pdf]
[ps.gz]
[ps]
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- Feature Extraction by Non-Parametric Mutual Information Maximization
(Kernel Machines Section)
- Kari Torkkola;
3(Mar):1415-1438, 2003.
[abs]
[pdf]
[ps.gz]
[ps]
[demos] |
- Use of the Zero-Norm with Linear Models and Kernel Methods
(Kernel Machines Section)
- Jason Weston, André Elisseeff, Bernhard Schölkopf, Mike Tipping;
3(Mar):1439-1461, 2003.
[abs]
[pdf]
[ps.gz]
[ps]
[data] |