JMLR Volume 5
- Learning Rates for Q-learning
- Eyal Even Dar, Yishay Mansour; 5(Dec):1--25, 2003.
[abs]
[pdf]
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- Learning the Kernel Matrix with Semidefinite Programming
- Gert R.G. Lanckriet, Nello Cristianini, Peter Bartlett, Laurent El
Ghaoui, Michael I. Jordan; 5(Jan):27--72, 2004.
[abs]
[pdf]
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- Dimensionality Reduction for Supervised Learning with Reproducing Kernel
Hilbert Spaces
- Kenji Fukumizu, Francis R. Bach, Michael I. Jordan;
5(Jan):73--99, 2004.
[abs]
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[ps]
erratum: [pdf]
- In Defense of One-Vs-All Classification
- Ryan Rifkin, Aldebaro Klautau; 5(Jan):101--141, 2004.
[abs]
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- Lossless Online Bayesian Bagging
- Herbert K. H. Lee, Merlise A. Clyde; 5(Feb):143--151, 2004.
[abs]
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- Subgroup Discovery with CN2-SD
- Nada Lavrač, Branko Kavšek, Peter Flach, Ljupčo
Todorovski; 5(Feb):153--188, 2004.
[abs]
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- Generalization Error Bounds for Threshold Decision Lists
- Martin Anthony; 5(Feb):189--217, 2004.
[abs]
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- On the Importance of Small Coordinate Projections
- Shahar Mendelson, Petra Philips; 5(Mar):219--238, 2004.
[abs]
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- Weather Data Mining Using Independent Component Analysis
- Jayanta Basak, Anant Sudarshan, Deepak Trivedi, M. S.
Santhanam; 5(Mar):239--253, 2004.
[abs]
[pdf]
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- Online Choice of Active Learning Algorithms
- Yoram Baram, Ran El Yaniv, Kobi Luz; 5(Mar):255--291, 2004.
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- A Compression Approach to Support Vector Model Selection
- Ulrike von Luxburg, Olivier Bousquet, Bernhard
Schölkopf; 5(Apr):293--323, 2004.
[abs]
[pdf]
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- A Geometric Approach to Multi-Criterion Reinforcement Learning
- Shie Mannor, Nahum Shimkin; 5(Apr):325--360, 2004.
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- RCV1: A New Benchmark Collection for Text Categorization Research
- David D. Lewis, Yiming Yang, Tony G. Rose, Fan Li;
5(Apr):361--397, 2004.
[abs]
[pdf]
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[ps] [appendices]
- Distributional Scaling: An Algorithm for Structure-Preserving Embedding of
Metric and Nonmetric Spaces
- Michael Quist, Golan Yona; 5(Apr):399--420, 2004.
[abs]
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- Learning Ensembles from Bites: A Scalable and Accurate Approach
- Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowyer, W. Philip
Kegelmeyer; 5(Apr):421--451, 2004.
[abs]
[pdf]
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- Robust Principal Component Analysis with Adaptive Selection for Tuning
Parameters
- Isao Higuchi, Shinto Eguchi; 5(May):453--471, 2004.
[abs]
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- PAC-learnability of Probabilistic Deterministic Finite State Automata
- Alexander Clark, Franck Thollard; 5(May):473--497, 2004.
[abs]
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- Sources of Success for Boosted Wrapper Induction
- David Kauchak, Joseph Smarr, Charles Elkan; 5(May):499--527,
2004.
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- Computable Shell Decomposition Bounds
- John Langford, David McAllester; 5(May):529--547, 2004.
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- Exact Bayesian Structure Discovery in Bayesian Networks
- Mikko Koivisto, Kismat Sood; 5(May):549--573, 2004.
[abs]
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- A Universal Well-Calibrated Algorithm for On-line Classification (Special Topic on Learning Theory)
- Vladimir Vovk; 5(Jun):575--604, 2004.
[abs]
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- New Techniques for Disambiguation in Natural Language and Their Application
to Biological Text
- Filip Ginter, Jorma Boberg, Jouni Järvinen, Tapio
Salakoski; 5(Jun):605--621, 2004.
[abs]
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- The Sample Complexity of Exploration in the Multi-Armed Bandit Problem (Special Topic on Learning Theory)
- Shie Mannor, John N. Tsitsiklis; 5(Jun):623--648, 2004.
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- Preference Elicitation and Query Learning (Special Topic on Learning Theory)
- Avrim Blum, Jeffrey Jackson, Tuomas Sandholm, Martin
Zinkevich; 5(Jun):649--667, 2004.
[abs]
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- Distance-Based Classification with Lipschitz Functions (Special Topic on Learning Theory)
- Ulrike von Luxburg, Olivier Bousquet; 5(Jun):669--695, 2004.
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- Hierarchical Latent Class Models for Cluster Analysis
- Nevin L. Zhang; 5(Jun):697--723, 2004.
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- Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods
- Giorgio Valentini, Thomas G. Dietterich; 5(Jul):725--775, 2004.
[abs][pdf]
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- A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation
- Andreas Ziehe, Pavel Laskov, Guido Nolte, Klaus-Robert Müller; 5(Jul):777--800, 2004.
[abs][pdf]
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- Feature Discovery in Non-Metric Pairwise Data
- Julian Laub, Klaus-Robert Müller; 5(Jul):801--818, 2004.
[abs][pdf]
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- Probability Product Kernels (Special Topic on Learning Theory)
- Tony Jebara, Risi Kondor, Andrew Howard; 5(Jul):819--844, 2004.
[abs][pdf]
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- Feature Selection for Unsupervised Learning
- Jennifer G. Dy, Carla E. Brodley; 5(Aug):845--889, 2004.
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- Some Dichotomy Theorems for Neural Learning Problems
- Michael Schmitt; 5(Aug):891--912, 2004.
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- Image Categorization by Learning and Reasoning with Regions
- Yixin Chen, James Z. Wang; 5(Aug):913--939, 2004.
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- Boosting as a Regularized Path to a Maximum Margin Classifier
- Saharon Rosset, Ji Zhu, Trevor Hastie; 5(Aug):941--973, 2004.
[abs][pdf]
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- Probability Estimates for Multi-class Classification by Pairwise Coupling
- Ting-Fan Wu, Chih-Jen Lin, Ruby C. Weng; 5(Aug):975--1005, 2004.
[abs][pdf]
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- On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition
- Andreas Christmann, Ingo Steinwart; 5(Aug):1007--1034, 2004.
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- Rational Kernels: Theory and Algorithms (Special Topic on Learning Theory)
- Corinna Cortes, Patrick Haffner, Mehryar Mohri; 5(Aug):1035--1062, 2004.
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- Reinforcement Learning with Factored States and Actions
- Brian Sallans, Geoffrey E. Hinton; 5(Aug):1063--1088, 2004.
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- No Unbiased Estimator of the Variance of K-Fold Cross-Validation
- Yoshua Bengio, Yves Grandvalet; 5(Sep):1089--1105, 2004.
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- Selective Rademacher Penalization and Reduced Error Pruning of Decision Trees
- Matti Kääriäinen, Tuomo Malinen, Tapio Elomaa; 5(Sep):1107--1126, 2004.
[abs][pdf]
- Knowledge-Based Kernel Approximation
- Olvi L. Mangasarian, Jude W. Shavlik, Edward W. Wild; 5(Sep):1127--1141, 2004.
[abs][pdf]
- Support Vector Machine Soft Margin Classifiers: Error Analysis
- Di-Rong Chen, Qiang Wu, Yiming Ying, Ding-Xuan Zhou; 5(Sep):1143--1175, 2004.
[abs][pdf]
- Model Averaging for Prediction with Discrete Bayesian Networks
- Denver Dash, Gregory F. Cooper; 5(Sep):1177--1203, 2004.
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- Efficient Feature Selection via Analysis of Relevance and Redundancy
- Lei Yu, Huan Liu; 5(Oct):1205--1224, 2004.
[abs][pdf]
- Statistical Analysis of Some Multi-Category Large Margin Classification Methods
- Tong Zhang; 5(Oct):1225--1251, 2004.
[abs][pdf]
- The Minimum Error Minimax Probability Machine
- Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan; 5(Oct):1253--1286, 2004.
[abs][pdf]
- Large-Sample Learning of Bayesian Networks is NP-Hard
- David Maxwell Chickering, David Heckerman, Christopher Meek; 5(Oct):1287--1330, 2004.
[abs][pdf]
- Randomized Variable Elimination
- David J. Stracuzzi, Paul E. Utgoff; 5(Oct):1331--1362, 2004.
[abs][pdf] [code]
- Some Properties of Regularized Kernel Methods
- Ernesto De Vito, Lorenzo Rosasco, Andrea Caponnetto, Michele Piana, Alessandro Verri; 5(Oct):1363--1390, 2004.
[abs][pdf]
- The Entire Regularization Path for the Support Vector Machine
- Trevor Hastie, Saharon Rosset, Robert Tibshirani, Ji Zhu; 5(Oct):1391--1415, 2004.
[abs][pdf]
- Second Order Cone Programming Formulations for Feature Selection
- Chiranjib Bhattacharyya; 5(Nov):1417--1433, 2004.
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- Fast String Kernels using Inexact Matching for Protein Sequences
- Christina Leslie, Rui Kuang; 5(Nov):1435--1455, 2004.
[abs][pdf]
- Non-negative Matrix Factorization with Sparseness Constraints
- Patrik O. Hoyer; 5(Nov):1457--1469, 2004.
[abs][pdf]
- Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning
- Evan Greensmith, Peter L. Bartlett, Jonathan Baxter; 5(Nov):1471--1530, 2004.
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- Fast Binary Feature Selection with Conditional Mutual Information
- François Fleuret; 5(Nov):1531--1555, 2004.
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- The Dynamics of AdaBoost: Cyclic Behavior and Convergence of Margins
- Cynthia Rudin, Ingrid Daubechies, Robert E. Schapire; 5(Dec):1557--1595, 2004.
[abs][pdf]