Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2430)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Conference series link(s): ECML: European Conference on Machine Learning
Conference proceedings info: ECML 2002.
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Table of contents (45 papers)
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Front Matter
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Contributed Papers
About this book
The 41 revised full papers presented together with 4 invited contributions were carefully reviewed and selected from numerous submissions. Among the topics covered are computational discovery, search strategies, Classification, support vector machines, kernel methods, rule induction, linear learning, decision tree learning, boosting, collaborative learning, statistical learning, clustering, instance-based learning, reinforcement learning, multiagent learning, multirelational learning, Markov decision processes, active learning, etc.
Editors and Affiliations
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Department of Computer Science, University of Helsinki, Helsinki, Finland
Tapio Elomaa, Heikki Mannila, Hannu Toivonen
Bibliographic Information
Book Title: Machine Learning: ECML 2002
Book Subtitle: 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002. Proceedings
Editors: Tapio Elomaa, Heikki Mannila, Hannu Toivonen
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/3-540-36755-1
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2002
Softcover ISBN: 978-3-540-44036-9Published: 05 August 2002
eBook ISBN: 978-3-540-36755-0Published: 01 January 2002
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 538
Topics: Artificial Intelligence, Algorithm Analysis and Problem Complexity, Mathematical Logic and Formal Languages