| 2002 | A Boosted Maximum Entropy Model for Learning Text Chunking. Seong-Bae Park, Byoung-Tak Zhang |
| 2002 | A Fast Dual Algorithm for Kernel Logistic Regression. S. Sathiya Keerthi, Kaibo Duan, Shirish K. Shevade, Aun Neow Poo |
| 2002 | A Necessary Condition of Convergence for Reinforcement Learning with Function Approximation. Artur Merke, Ralf Schoknecht |
| 2002 | A New Statistical Approach to Personal Name Extraction. Zheng Chen, Liu Wenyin, Feng Zhang |
| 2002 | A Unified Decomposition of Ensemble Loss for Predicting Ensemble Performance. Michael Goebel, Patricia J. Riddle, Mike Barley |
| 2002 | Action Refinement in Reinforcement Learning by Probability Smoothing. Thomas G. Dietterich, Dídac Busquets, Ramón López de Mántaras, Carles Sierra |
| 2002 | Active + Semi-supervised Learning = Robust Multi-View Learning. Ion Muslea, Steven Minton, Craig A. Knoblock |
| 2002 | Adaptive View Validation: A First Step Towards Automatic View Detection. Ion Muslea, Steven Minton, Craig A. Knoblock |
| 2002 | Algorithm-Directed Exploration for Model-Based Reinforcement Learning in Factored MDPs. Carlos Guestrin, Relu Patrascu, Dale Schuurmans |
| 2002 | An Alternate Objective Function for Markovian Fields. Sham M. Kakade, Yee Whye Teh, Sam T. Roweis |
| 2002 | An Analysis of Functional Trees. João Gama |
| 2002 | An epsilon-Optimal Grid-Based Algorithm for Partially Observable Markov Decision Processes. Blai Bonet |
| 2002 | Anytime Interval-Valued Outputs for Kernel Machines: Fast Support Vector Machine Classification via Distance Geometry. Dennis DeCoste |
| 2002 | Approximately Optimal Approximate Reinforcement Learning. Sham M. Kakade, John Langford |
| 2002 | Classification Value Grouping. Colin K. M. Ho |
| 2002 | Combining Labeled and Unlabeled Data for MultiClass Text Categorization. Rayid Ghani |
| 2002 | Combining Trainig Set and Test Set Bounds. John Langford |
| 2002 | Competitive Analysis of the Explore/Exploit Tradeoff. John Langford, Martin Zinkevich, Sham M. Kakade |
| 2002 | Constraint-based Learning of Long Relational Concepts. Jacques Ales Bianchetti, Céline Rouveirol, Michèle Sebag |
| 2002 | Content-Based Image Retrieval Using Multiple-Instance Learning. Qi Zhang, Sally A. Goldman, Wei Yu, Jason E. Fritts |
| 2002 | Coordinated Reinforcement Learning. Carlos Guestrin, Michail G. Lagoudakis, Ronald Parr |
| 2002 | Cranking: Combining Rankings Using Conditional Probability Models on Permutations. Guy Lebanon, John D. Lafferty |
| 2002 | Descriptive Induction through Subgroup Discovery: A Case Study in a Medical Domain. Dragan Gamberger, Nada Lavrac |
| 2002 | Diffusion Kernels on Graphs and Other Discrete Input Spaces. Risi Kondor, John D. Lafferty |
| 2002 | Discovering Hierarchy in Reinforcement Learning with HEXQ. Bernhard Hengst |
| 2002 | Discriminative Feature Selection via Multiclass Variable Memory Markov Model. Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tishby |
| 2002 | Exact model averaging with naive Bayesian classifiers. Denver Dash, Gregory F. Cooper |
| 2002 | Exploiting Relations Among Concepts to Acquire Weakly Labeled Training Data. Joseph Bockhorst, Mark Craven |
| 2002 | Fast Minimum Training Error Discretization. Tapio Elomaa, Juho Rousu |
| 2002 | Feature Selection with Selective Sampling. Huan Liu, Hiroshi Motoda, Lei Yu |
| 2002 | Feature Subset Selection and Inductive Logic Programming. Érick Alphonse, Stan Matwin |
| 2002 | Finding an Optimal Gain-Ratio Subset-Split Test for a Set-Valued Attribute in Decision Tree Induction. Fumio Takechi, Einoshin Suzuki |
| 2002 | From Instance-level Constraints to Space-Level Constraints: Making the Most of Prior Knowledge in Data Clustering. Dan Klein, Sepandar D. Kamvar, Christopher D. Manning |
| 2002 | Graph-Based Relational Concept Learning. Jesus A. Gonzalez, Lawrence B. Holder, Diane J. Cook |
| 2002 | Hierarchically Optimal Average Reward Reinforcement Learning. Mohammad Ghavamzadeh, Sridhar Mahadevan |
| 2002 | How to Make Stacking Better and Faster While Also Taking Care of an Unknown Weakness. Alexander K. Seewald |
| 2002 | IEMS - The Intelligent Email Sorter. Elisabeth Crawford, Judy Kay, Eric McCreath |
| 2002 | Incorporating Prior Knowledge into Boosting. Robert E. Schapire, Marie Rochery, Mazin G. Rahim, Narendra K. Gupta |
| 2002 | Inducing Process Models from Continuous Data. Pat Langley, Javier Nicolás Sánchez, Ljupco Todorovski, Saso Dzeroski |
| 2002 | Integrating Experimentation and Guidance in Relational Reinforcement Learning. Kurt Driessens, Saso Dzeroski |
| 2002 | Interpreting and Extending Classical Agglomerative Clustering Algorithms using a Model-Based approach. Sepandar D. Kamvar, Dan Klein, Christopher D. Manning |
| 2002 | Investigating the Maximum Likelihood Alternative to TD(lambda). Fletcher Lu, Relu Patrascu, Dale Schuurmans |
| 2002 | Is Combining Classifiers Better than Selecting the Best One. Saso Dzeroski, Bernard Zenko |
| 2002 | Issues in Classifier Evaluation using Optimal Cost Curves. Kai Ming Ting |
| 2002 | Kernels for Semi-Structured Data. Hisashi Kashima, Teruo Koyanagi |
| 2002 | Learning Decision Rules by Randomized Iterative Local Search. Michael Chisholm, Prasad Tadepalli |
| 2002 | Learning Decision Trees Using the Area Under the ROC Curve. César Ferri, Peter A. Flach, José Hernández-Orallo |
| 2002 | Learning Spatial and Temporal Correlation for Navigation in a 2-Dimensional Continuous World. Anand Panangadan, Michael G. Dyer |
| 2002 | Learning from Scarce Experience. Leonid Peshkin, Christian R. Shelton |
| 2002 | Learning k-Reversible Context-Free Grammars from Positive Structural Examples. Tim Oates, Devina Desai, Vinay Bhat |
| 2002 | Learning the Kernel Matrix with Semi-Definite Programming. Gert R. G. Lanckriet, Nello Cristianini, Peter L. Bartlett, Laurent El Ghaoui, Michael I. Jordan |
| 2002 | Learning to Fly by Controlling Dynamic Instabilities. David Stirling |
| 2002 | Learning to Share Distributed Probabilistic Beliefs. Christopher Leckie, Kotagiri Ramamohanarao |
| 2002 | Learning word normalization using word suffix and context from unlabeled data. Dunja Mladenic |
| 2002 | Linkage and Autocorrelation Cause Feature Selection Bias in Relational Learning. David D. Jensen, Jennifer Neville |
| 2002 | MMIHMM: Maximum Mutual Information Hidden Markov Models. Nuria Oliver, Ashutosh Garg |
| 2002 | Machine Learning, Proceedings of the Nineteenth International Conference (ICML 2002), University of New South Wales, Sydney, Australia, July 8-12, 2002 Claude Sammut, Achim G. Hoffmann |
| 2002 | Markov Chain Monte Carlo Sampling using Direct Search Optimization. Malcolm J. A. Strens, Mark Bernhardt, Nicholas Everett |
| 2002 | Mining Both Positive and Negative Association Rules. Xindong Wu, Chengqi Zhang, Shichao Zhang |
| 2002 | Model-based Hierarchical Average-reward Reinforcement Learning. Sandeep Seri, Prasad Tadepalli |
| 2002 | Modeling Auction Price Uncertainty Using Boosting-based Conditional Density Estimation. Robert E. Schapire, Peter Stone, David A. McAllester, Michael L. Littman, János A. Csirik |
| 2002 | Modeling for Optimal Probability Prediction. Yong Wang, Ian H. Witten |
| 2002 | Multi-Instance Kernels. Thomas Gärtner, Peter A. Flach, Adam Kowalczyk, Alexander J. Smola |
| 2002 | Non-Disjoint Discretization for Naive-Bayes Classifiers. Ying Yang, Geoffrey I. Webb |
| 2002 | On generalization bounds, projection profile, and margin distribution. Ashutosh Garg, Sariel Har-Peled, Dan Roth |
| 2002 | On the Existence of Fixed Points for Q-Learning and Sarsa in Partially Observable Domains. Theodore J. Perkins, Mark D. Pendrith |
| 2002 | Partially Supervised Classification of Text Documents. Bing Liu, Wee Sun Lee, Philip S. Yu, Xiaoli Li |
| 2002 | PolicyBlocks: An Algorithm for Creating Useful Macro-Actions in Reinforcement Learning. Marc Pickett, Andrew G. Barto |
| 2002 | Pruning Improves Heuristic Search for Cost-Sensitive Learning. Valentina Bayer Zubek, Thomas G. Dietterich |
| 2002 | Qualitative reverse engineering. Dorian Suc, Ivan Bratko |
| 2002 | Randomized Variable Elimination. David J. Stracuzzi, Paul E. Utgoff |
| 2002 | Refining the Wrapper Approach - Smoothed Error Estimates for Feature Selection. Loo-Nin Teow, Haifeng Liu, Hwee Tou Ng, Eric Yap |
| 2002 | Reinforcement Learning and Shaping: Encouraging Intended Behaviors. Adam Laud, Gerald DeJong |
| 2002 | Representational Upper Bounds of Bayesian Networks. Huajie Zhang, Charles X. Ling |
| 2002 | Scalable Internal-State Policy-Gradient Methods for POMDPs. Douglas Aberdeen, Jonathan Baxter |
| 2002 | Semi-supervised Clustering by Seeding. Sugato Basu, Arindam Banerjee, Raymond J. Mooney |
| 2002 | Separating Skills from Preference: Using Learning to Program by Reward. Daniel G. Shapiro, Pat Langley |
| 2002 | Sparse Bayesian Learning for Regression and Classification using Markov Chain Monte Carlo. Shien-Shin Tham, Arnaud Doucet, Kotagiri Ramamohanarao |
| 2002 | Statistical Behavior and Consistency of Support Vector Machines, Boosting, and Beyond. Tong Zhang |
| 2002 | Stock Trading System Using Reinforcement Learning with Cooperative Agents. Jangmin O, Jae Won Lee, Byoung-Tak Zhang |
| 2002 | Sufficient Dimensionality Reduction - A novel Analysis Method. Amir Globerson, Naftali Tishby |
| 2002 | Syllables and other String Kernel Extensions. Craig Saunders, Hauke Tschach, John Shawe-Taylor |
| 2002 | The Perceptron Algorithm with Uneven Margins. Yaoyong Li, Hugo Zaragoza, Ralf Herbrich, John Shawe-Taylor, Jaz S. Kandola |
| 2002 | Towards "Large Margin" Speech Recognizers by Boosting and Discriminative Training. Carsten Meyer, Peter Beyerlein |
| 2002 | Transformation-Based Regression. Björn Bringmann, Stefan Kramer, Friedrich Neubarth, Hannes Pirker, Gerhard Widmer |
| 2002 | Univariate Polynomial Inference by Monte Carlo Message Length Approximation. Leigh J. Fitzgibbon, David L. Dowe, Lloyd Allison |
| 2002 | Using Abstract Models of Behaviours to Automatically Generate Reinforcement Learning Hierarchies. Malcolm R. K. Ryan |
| 2002 | Using Unlabelled Data for Text Classification through Addition of Cluster Parameters. Bhavani Raskutti, Herman L. Ferrá, Adam Kowalczyk |