Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4212)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: ECML 2006.
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Keywords
Table of contents (87 papers)
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Long Papers
Reviews
From the reviews:
"In this book, we find many ways of representing machine learning from different fields, including active learning, algorithmic learning, case-based learning, classifier systems, clustering algorithms, decision-tree learning, inductive inference, kernel methods, knowledge discovery, multiple-instance learning, reinforcement learning, statistical learning, and support vector machines. Most of the current issues in machine learning research are discussed. … I strongly recommend this book for all researchers interested in the very best of machine learning studies." (Agliberto Cierco, ACM Computing Reviews, Vol. 49 (5), 2008)
Editors and Affiliations
Bibliographic Information
Book Title: Machine Learning: ECML 2006
Book Subtitle: 17th European Conference on Machine Learning, Berlin, Germany, September 18-22, 2006, Proceedings
Editors: Johannes Fürnkranz, Tobias Scheffer, Myra Spiliopoulou
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/11871842
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2006
Softcover ISBN: 978-3-540-45375-8Published: 19 September 2006
eBook ISBN: 978-3-540-46056-5Published: 21 September 2006
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXIII, 851
Topics: Artificial Intelligence, Algorithm Analysis and Problem Complexity, Mathematical Logic and Formal Languages, Database Management