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The
Twentieth International Conference August 21-24,
2003 |
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The
Twentieth International Conference August 21-24,
2003 |
| Carla Brodley | Leslie Pack Kaelbling |
| Andrea Danyluk | Pat Langley |
| Tom Dietterich | Claude Sammut |
| Robert Holte | Achim Hoffmann |
| David Aha | Case-based Reasoning, Instance-based Learning |
| Shai Ben-David | Computational Learning Theory, Multi-task Learning, Support Vector Machines |
| Rich Caruana | Multi-Task Learning/Inductive Transfer, Learning to Rank/Order Data,Feature Selection, Ensemble Methods |
| Mark Craven | Computational Biology, Information Extraction, Rule Learning |
| Johannes Gehrke | Decision Tree/Rule Induction, Learning From/With Data Streams |
| Haym Hirsh | Applications, Information Retrieval, Learning with Labeled/Unlabeled data,Text Classification |
| David Jensen | Relational learning, Applications, Evaluation of Learning Processes |
| Eamonn Keogh | Temporal/multimedia data, Clustering/Unsupervised Learning, Computational Biology, Time Series Data |
| John Lafferty | Information retrieval, Ensemble methods, Markov Methods, Learning with Labeled/Unlabeled Data |
| Pat Langley | Scientific Discovery, Planning, Adaptive Interfaces, Vision |
| Stan Matwin | Natural Language, Inductive Logic Programming, Text Classification, Relational Learning |
| Dan Oblinger | Meta-Learning/Learning Behavior, Computational Biology |
| Michael Pazzani | Applications, Cognitive Modeling, Cost-Sensitive Learning, Decision Tree/Rule Induction |
| Dan Roth | Computational Learning Theory, Natural Language, On-line Learning |
| Mehran Sahami | Text Classification, Feature Selection, Clustering/Unsupervised Learning |
| Dale Schuurmans | Ensemble Methods, Bayesian Networks, Markov Methods, Reinforcement Learning |
| John Shawe-Taylor | Computational Learning Theory, Support Vector Machines, Connectionist Learning |
| Satinder Singh | Reinforcement Learning, Multi-agent learning, Markov methods, Connectionist learning |
| Peter Stone | Multi-agent Learning, Reinforcement Learning, Robotics |
| David Stork | Bayesian Networks, Clustering/Unsupervised Learning, Connectionist Learning |
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Please direct comments and questions about this web page to
icml03@hpl.hp.com |
