Table of contents

  1. Front Matter
  2. J. R. Quinlan, R. M. Cameron-Jones
    Pages 1-20
  3. Irene Stahl, Birgit Tausend, Rüdiger Wirth
    Pages 39-55
  4. Patrick R. J. van der Laag, Shan-Hwei Nienhuys-Cheng
    Pages 95-114
  5. Henrik Boström
    Pages 124-135
  6. Floriana Esposito, Donate Malerba, Giovanni Semeraro
    Pages 165-184
  7. Antoine Cornuéjols
    Pages 196-212
  8. Maciej Modrzejewski
    Pages 213-226
  9. Fredrik Kilander, Carl Gustaf Jansson
    Pages 244-261

About these proceedings


This volume contains the proceedings of the Eurpoean Conference on Machine Learning (ECML-93), continuing the tradition of the five earlier EWSLs (European Working Sessions on Learning). The aim of these conferences is to provide a platform for presenting the latest results in the area of machine learning. The ECML-93 programme included invited talks, selected papers, and the presentation of ongoing work in poster sessions. The programme was completed by several workshops on specific topics. The volume contains papers related to all these activities. The first chapter of the proceedings contains two invited papers, one by Ross Quinlan and one by Stephen Muggleton on inductive logic programming. The second chapter contains 18 scientific papers accepted for the main sessions of the conference. The third chapter contains 18 shorter position papers. The final chapter includes three overview papers related to the ECML-93 workshops.


Genetic Algorithms Genetische Algorithmen Inductive Learning Inductive Loigic Induktives Lernen Induktives Logisches Programmieren Learnability Lernbarkeit complexity complexity theory heuristics learning machine learning programming proving

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 1993
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-56602-1
  • Online ISBN 978-3-540-47597-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book