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Machine Learning: ECML 2006

17th European Conference on Machine Learning, Berlin, Germany, September 18-22, 2006, Proceedings

  • Conference proceedings
  • © 2006

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)

  1. Invited Talks

  2. 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

  • Knowledge Engineering Group, Technische Universität Darmstadt,  

    Johannes Fürnkranz

  • Max Planck Institute for Computer Science, Saarbrücken, Germany

    Tobias Scheffer

  • Faculty of Computer Science, Otto-von-Guericke-University Magdeburg, Germany

    Myra Spiliopoulou

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