Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2167)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
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Table of contents (55 papers)
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Regular Papers
Keywords
About this book
The 50 revised full papers presented together with four invited contributions were carefully reviewed and selected from a total of 140 submissions. Among the topics covered are classifier systems, naive-Bayes classification, rule learning, decision tree-based classification, Web mining, equation discovery, inductive logic programming, text categorization, agent learning, backpropagation, reinforcement learning, sequence prediction, sequential decisions, classification learning, sampling, and semi-supervised learning.
Editors and Affiliations
Bibliographic Information
Book Title: Machine Learning: ECML 2001
Book Subtitle: 12th European Conference on Machine Learning, Freiburg, Germany, September 5-7, 2001. Proceedings
Editors: Luc Raedt, Peter Flach
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/3-540-44795-4
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2001
Softcover ISBN: 978-3-540-42536-6Published: 23 August 2001
eBook ISBN: 978-3-540-44795-5Published: 30 June 2003
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVII, 620
Topics: Artificial Intelligence, Programming Techniques, Algorithm Analysis and Problem Complexity, Mathematical Logic and Formal Languages