Advertisement

© 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. Front Matter
    Pages I-XVII
  2. Regular Papers

    1. Hassan Aït-Kaci, Yutaka Sasaki
      Pages 1-12
    2. Hilan Bensusan, Alexandros Kalousis
      Pages 25-36
    3. Yann Chevaleyre, Jean-Daniel Zucker
      Pages 49-60
    4. Fredrik A. Dahl, Ole Martin Halck
      Pages 73-84
    5. Tapio Elomaa, Matti Kääriäinen
      Pages 133-144
    6. Eibe Frank, Mark Hall
      Pages 145-156
    7. Ashutosh Garg, Dan Roth
      Pages 179-191
    8. Baohua Gu, Bing Liu, Feifang Hu, Huan Liu
      Pages 192-202
    9. Achim Hoffmann, Rex Kwok, Paul Compton
      Pages 203-213
    10. Thomas Hofmann
      Pages 214-225

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