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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
  10. Pierre Brézellec, Henri Soldano
    Pages 297-309
  11. Irene Stahl
    Pages 311-322
  12. Tim Niblett
    Pages 329-335
  13. Sašo Džeroski, Stephen Muggleton, Stuart Russell
    Pages 342-347
  14. S. H. Nienhuys-Cheng, M. Polman
    Pages 348-353
  15. Peter Clark, Stan Matwin
    Pages 360-365
  16. Miroslav Kubat, Doris Flotzinger, Gert Pfurtscheller
    Pages 366-371
  17. Charles X. Ling, Ralph Buchal
    Pages 372-377
  18. Dieter Fensel, Markus Wiese
    Pages 378-383
  19. Luis Torgo
    Pages 384-389
  20. Jean-Gabriel Ganascia, Jérôme Thomas, Philippe Laublet
    Pages 396-401
  21. Peter D. Turney
    Pages 402-407
  22. L. Gaga, V. Moustakis, G. Charissis, S. Orphanoudakis
    Pages 408-413
  23. José Ferreira, Joaquim Correia, Thomas Jamet, Ernesto Costa
    Pages 414-419
  24. Raqui Kane, Irina Tchoumatchenko, Maurice Milgram
    Pages 420-425
  25. E. Plaza, A. Aamodt, A. Ram, W. van de Velde, M. van Someren
    Pages 427-441
  26. William M. Spears, Kenneth A. De Jong, Thomas Bäck, David B. Fogel, Hugo de Garis
    Pages 442-459
  27. Pieter Adriaans
    Pages 460-469
  28. Back Matter

About these proceedings

Introduction

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.

Keywords

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 https://doi.org/10.1007/3-540-56602-3
  • 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
  • Buy this book on publisher's site