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  • Conference proceedings
  • © 2006

Machine Learning: ECML 2006

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

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)

Conference series link(s): ECML: European Conference on Machine Learning

Conference proceedings info: ECML 2006.

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Table of contents (87 papers)

  1. Front Matter

  2. Invited Talks

    1. On Temporal Evolution in Data Streams

      • Charu C. Aggarwal
      Pages 1-1
    2. The Future of CiteSeer: CiteSeer x

      • 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. Sequence Discrimination Using Phase-Type Distributions

      • Jérôme Callut, Pierre Dupont
      Pages 78-89
    7. Languages as Hyperplanes: Grammatical Inference with String Kernels

      • Alexander Clark, Christophe Costa Florêncio, Chris Watkins
      Pages 90-101
    8. Fisher Kernels for Relational Data

      • Uwe Dick, Kristian Kersting
      Pages 114-125
    9. Evaluating Misclassifications in Imbalanced Data

      • William Elazmeh, Nathalie Japkowicz, Stan Matwin
      Pages 126-137
    10. Improving Control-Knowledge Acquisition for Planning by Active Learning

      • Raquel Fuentetaja, Daniel Borrajo
      Pages 138-149
    11. PAC-Learning of Markov Models with Hidden State

      • Ricard Gavaldà, Philipp W. Keller, Joelle Pineau, Doina Precup
      Pages 150-161
    12. A Discriminative Approach for the Retrieval of Images from Text Queries

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

Other Volumes

  1. Machine Learning: ECML 2006

Keywords

  • Boosting
  • Support Vector Machine
  • active learning
  • algorithm
  • algorithmic learning
  • algorithms
  • case-based learning
  • classifier systems
  • clustering algorithms
  • knowledge discovery
  • learning
  • logic
  • machine learning
  • multiple-instance learning
  • sensing
  • algorithm analysis and problem complexity

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

Bibliographic Information

Buying options

eBook USD 84.99
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (Canada)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions