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Table of contents

  1. Front Matter
  2. Tom M. Mitchell
    Pages 32-32
  3. Ralph Bergmann, Wolfgang Wilke
    Pages 53-76
  4. Henrik Boström
    Pages 92-106
  5. Jürgen Branke, Udo Kohlmorgen, Hartmut Schmeck
    Pages 107-121
  6. Yannis Dimopoulos, Antonis Kakas
    Pages 122-137
  7. Ron Kohavi
    Pages 174-189
  8. Miroslav Kubat, Doris Flotzinger
    Pages 190-199
  9. Thierry Van de Merckt, Christine Decaestecker
    Pages 200-217
  10. Ken Sadohara, Makoto Haraguchi
    Pages 232-244
  11. Birgit Tausend
    Pages 245-259
  12. Hilde Adé, Henrik Boström
    Pages 261-266

About these proceedings

Introduction

This volume constitutes the proceedings of the Eighth European Conference on Machine Learning ECML-95, held in Heraclion, Crete in April 1995.
Besides four invited papers the volume presents revised versions of 14 long papers and 26 short papers selected from a total of 104 submissions. The papers address all current aspects in the area of machine learning; also logic programming, planning, reasoning, and algorithmic issues are touched upon.

Keywords

Case-Based Learning Concept-Learning Fallbasiertes Lernen Genetische Algorithmen Lern-Algorithmen Maschinelles Lernen algorithm algorithms complexity genetic algorithms knowledge representation learning logic machine learning programming algorithm analysis and problem complexity

Bibliographic information

  • Book Title Machine Learning: ECML-95
  • Book Subtitle 8th European Conference on Machine Learning Heraclion, Crete, Greece, April 25–27, 1995 Proceedings
  • Editors Nada Lavrač
    Stefan Wrobel
  • Series Title Lecture Notes in Computer Science
  • Series Abbreviated Title Lect Notes Comput Sci
  • DOI https://doi.org/10.1007/3-540-59286-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 1995
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Softcover ISBN 978-3-540-59286-0
  • eBook ISBN 978-3-540-49232-0
  • Series ISSN 0302-9743
  • Series E-ISSN 1611-3349
  • Edition Number 1
  • Number of Pages XII, 376
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Artificial Intelligence
    Algorithm Analysis and Problem Complexity
  • Buy this book on publisher's site