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© 2001

Machine Learning: ECML 2001

12th European Conference on Machine Learning Freiburg, Germany, September 5–7, 2001 Proceedings

  • Luc De Raedt
  • Peter Flach
Conference proceedings ECML 2001

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2167)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 2167)

Table of contents

  1. Regular Papers

    1. Daniel Keysers, Wolfgang Macherey, Jörg Dahmen, Hermann Ney
      Pages 263-275
    2. Kevin B. Korb, Lucas R. Hope, Michelle J. Hughes
      Pages 276-287
    3. Wojciech Kwedlo, Marek Krętowski
      Pages 288-299
    4. Carlos E. Mariano, Eduardo F. Morales
      Pages 324-335
    5. Lionel Martin, Frédéric Moal
      Pages 336-347
    6. Victor Medina-Chico, Alberto Suárez, James F. Lutsko
      Pages 348-359
    7. Thomas Melluish, Craig Saunders, Ilia Nouretdinov, Volodya Vovk
      Pages 360-371
    8. Jason H. Moore, Joel S. Parker, Lance W. Hahn
      Pages 372-381
    9. Ann Nowé, Johan Parent, Katja Verbeeck
      Pages 382-393
    10. Santiago Ontañón, Enric Plaza
      Pages 394-405
    11. Bhavani Raskutti, Herman Ferrá, Adam Kowalczyk
      Pages 419-430
    12. José L. Sanz-González, Diego Andina
      Pages 431-441
    13. 1Dorian Šuc, Ivan Bratko
      Pages 442-453
    14. Hirotoshi Taira, Masahiko Haruno
      Pages 454-465

Other volumes

  1. Machine Learning: ECML 2001
    12th European Conference on Machine Learning Freiburg, Germany, September 5–7, 2001 Proceedings
  2. 5th European Conference, PKDD 2001, Freiburg, Germany, September 3–5, 2001 Proceedings

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 12th European Conference on Machine Learning, ECML 2001, held in Freiburg, Germany, in September 2001.
The 50 revised full papers presented together with four invited contributions were carefully reviewed and selected from a total of 140 submissions. Among the topics covered are classifier systems, naive-Bayes classification, rule learning, decision tree-based classification, Web mining, equation discovery, inductive logic programming, text categorization, agent learning, backpropagation, reinforcement learning, sequence prediction, sequential decisions, classification learning, sampling, and semi-supervised learning.

Keywords

Text classification learning logic machine learning programming reinforcement learning supervised learning web mining

Editors and affiliations

  • Luc De Raedt
    • 1
  • Peter Flach
    • 2
  1. 1.Department of Computer ScienceAlbert-Ludwigs University FreiburgFreiburgGermany
  2. 2.Department of Computer ScienceUniversity of BristolBristolUK

Bibliographic information