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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

Editors:
  1. Johannes Fürnkranz

    1. Knowledge Engineering Group, Technische Universität Darmstadt,  

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  2. Tobias Scheffer

    1. Max Planck Institute for Computer Science, Saarbrücken, Germany

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    You can also search for this editor in PubMed   Google Scholar

  3. Myra Spiliopoulou

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

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    You can also search for this editor in PubMed   Google Scholar

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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Table of contents (87 papers)

  1. Front Matter

    Download chapter PDF

  2. Invited Talks

    1. On Temporal Evolution in Data Streams

      • Charu C. Aggarwal
      Pages 1-1

    2. The Future of CiteSeer: CiteSeerx

      • C. Lee Giles
      Pages 2-2

    3. Learning to Have Fun

      • Jonathan Schaeffer
      Pages 3-3

    4. Winning the DARPA Grand Challenge

      • Sebastian Thrun
      Pages 4-4

    5. Challenges of Urban Sensing

      • Henry Tirri
      Pages 5-5

  3. Long Papers

    1. Learning in One-Shot Strategic Form Games

      • Alon Altman, Avivit Bercovici-Boden, Moshe Tennenholtz
      Pages 6-17

    2. A Selective Sampling Strategy for Label Ranking

      • Massih Amini, Nicolas Usunier, François Laviolette, Alexandre Lacasse, Patrick Gallinari
      Pages 18-29

    3. Combinatorial Markov Random Fields

      • Ron Bekkerman, Mehran Sahami, Erik Learned-Miller
      Pages 30-41

    4. Learning Stochastic Tree Edit Distance

      • Marc Bernard, Amaury Habrard, Marc Sebban
      Pages 42-53

    5. Pertinent Background Knowledge for Learning Protein Grammars

      • Christopher H. Bryant, Daniel C. Fredouille, Alex Wilson, Channa K. Jayawickreme, Steven Jupe, Simon Topp
      Pages 54-65

    6. Improving Bayesian Network Structure Search with Random Variable Aggregation Hierarchies

      • John Burge, Terran Lane
      Pages 66-77

    7. Sequence Discrimination Using Phase-Type Distributions

      • Jérôme Callut, Pierre Dupont
      Pages 78-89

    8. Languages as Hyperplanes: Grammatical Inference with String Kernels

      • Alexander Clark, Christophe Costa Florêncio, Chris Watkins
      Pages 90-101

    9. Toward Robust Real-World Inference: A New Perspective on Explanation-Based Learning

      • Gerald DeJong
      Pages 102-113

    10. Fisher Kernels for Relational Data

      • Uwe Dick, Kristian Kersting
      Pages 114-125

    11. Evaluating Misclassifications in Imbalanced Data

      • William Elazmeh, Nathalie Japkowicz, Stan Matwin
      Pages 126-137

    12. Improving Control-Knowledge Acquisition for Planning by Active Learning

      • Raquel Fuentetaja, Daniel Borrajo
      Pages 138-149

    13. PAC-Learning of Markov Models with Hidden State

      • Ricard Gavaldà, Philipp W. Keller, Joelle Pineau, Doina Precup
      Pages 150-161

    14. A Discriminative Approach for the Retrieval of Images from Text Queries

      • David Grangier, Florent Monay, Samy Bengio
      Pages 162-173
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Keywords

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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