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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. Bernard Zenko, Saso Dzeroski
      Pages 493-504
  2. Invited Papers

    1. Dan Roth
      Pages 506-510
    2. Bernhard Schölkopf, Jason Weston, Eleazar Eskin, Christina Leslie, William Stafford Noble
      Pages 511-528
  3. Back Matter
    Pages 531-532

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