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© 2002

Machine Learning: ECML 2002

13th European Conference on Machine Learning Helsinki, Finland, August 19–23, 2002 Proceedings

  • Tapio Elomaa
  • Heikki Mannila
  • Hannu Toivonen
Conference proceedings ECML 2002

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2430)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 2430)

Table of contents

  1. Contributed Papers

    1. Marcus-Christopher Ludl, Gerhard Widmer
      Pages 258-270
    2. Mario Martin
      Pages 282-294
    3. Ishai Menache, Shie Mannor, Nahum Shimkin
      Pages 295-306
    4. Richard Nock, Patrice Lefaucheur
      Pages 319-331
    5. Santiago Ontanón, Enric Plaza
      Pages 331-344
    6. Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, Alex Gammerman
      Pages 345-356
    7. Lourdes Pena Castillo, Stefan Wrobel
      Pages 357-368
    8. Philippe Preux
      Pages 369-380
    9. Kostas Proedrou, Ilia Nouretdinov, Volodya Vovk, Alex Gammerman
      Pages 381-390
    10. Bohdana Ratitch, Doina Precup
      Pages 391-404
    11. Ulrich Rückert, Stefan Kramer, Luc De Raedt
      Pages 405-417
    12. Janne Sinkkonen, Samuel Kaski, Janne Nikkilä
      Pages 418-430
    13. Franck Thollard, Marc Sebban, Philippe Ezequel
      Pages 431-443
    14. Ljupco Todorovski, Hendrik Blockeel, Saso Dzeroski
      Pages 444-455
    15. Ioannis Tsochantaridis, Thomas Hofmann
      Pages 456-467
    16. Jean-Noël Vittaut, Massih-Reza Amini, Patrick Gallinari
      Pages 468-479

Other volumes

  1. Machine Learning: ECML 2002
    13th European Conference on Machine Learning Helsinki, Finland, August 19–23, 2002 Proceedings
  2. 6th European Conference, PKDD 2002 Helsinki, Finland, August 19–23, 2002 Proceedings

About these proceedings

Introduction

This book constitutes the refereed preceedings of the 13th European Conference on Machine Learning, ECML 2002, held in Helsinki, Finland in August 2002.
The 41 revised full papers presented together with 4 invited contributions were carefully reviewed and selected from numerous submissions. Among the topics covered are computational discovery, search strategies, Classification, support vector machines, kernel methods, rule induction, linear learning, decision tree learning, boosting, collaborative learning, statistical learning, clustering, instance-based learning, reinforcement learning, multiagent learning, multirelational learning, Markov decision processes, active learning, etc.

Keywords

Boosting Markov decision process Support Vector Machine classification kernel method learning machine learning reinforcement learning algorithm analysis and problem complexity

Editors and affiliations

  • Tapio Elomaa
    • 1
  • Heikki Mannila
    • 1
  • Hannu Toivonen
    • 1
  1. 1.Department of Computer ScienceUniversity of HelsinkiHelsinkiFinland

Bibliographic information