Machine Learning: ECML 2002

Tapio Elomaa

ISBN 10: 3540440364 / ISBN 13: 9783540440369

Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Aug 2002, 2002

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -This book constitutes the refereed preceedings of the 13th European Conference on Machine Learning, ECML 2002, held in Helsinki, Finland in August 2002.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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 548 pp. Englisch.

Seller Inventory # 9783540440369

Bibliographic Details

• Title: Machine Learning: ECML 2002
• Publisher: Springer Berlin Heidelberg, Springer Berlin Heidelberg Aug 2002
• Publication Date: 2002
• Language: English
• ISBN 10: 3540440364
• ISBN 13: 9783540440369
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 30D millimeters 235 millimeters width by 155 millimeters height by 30 millimeters depth
• Weight: 820 grams

About this title

Synopsis

This book constitutes the refereed preceedings of the 13th European Conference on Machine Learning, ECML 2002, held in Helsinki, Finland in August 2002.
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.