Machine Learning: ECML 2003

14th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, September 22-26, 2003. Proceedings

  • Nada Lavrač
  • Dragan Gamberger
  • Hendrik Blockeel
  • Ljupčo Todorovski

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2837)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 2837)

Table of contents

  1. Front Matter
  2. Invited Papers

  3. Contributed Papers

    1. Ulf Brefeld, Peter Geibel, Fritz Wysotzki
      Pages 23-34
    2. Pedro Campos, Thibault Langlois
      Pages 35-46
    3. Chien Chin Chen, Yao-Tsung Chen, Yeali Sun, Meng Chang Chen
      Pages 47-59
    4. François Coste, Daniel Fredouille
      Pages 60-71
    5. Walter Daelemans, Véronique Hoste, Fien De Meulder, Bart Naudts
      Pages 84-95
    6. Damien Ernst, Pierre Geurts, Louis Wehenkel
      Pages 96-107
    7. César Ferri, José Hernández-Orallo, Miguel Angel Salido
      Pages 108-120
    8. César Ferri, Peter A. Flach, José Hernández-Orallo
      Pages 121-132
    9. Jörg Fischer, Kristian Kersting
      Pages 133-144
    10. Johannes Fürnkranz, Eyke Hüllermeier
      Pages 145-156
    11. Pieter Jan ’t Hoen, Sander M. Bohte
      Pages 181-192
    12. Matti Kääriäinen, Tapio Elomaa
      Pages 193-204

Other volumes

  1. Machine Learning: ECML 2003
    14th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, September 22-26, 2003. Proceedings
  2. 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, September 22-26, 2003. Proceedings

About these proceedings

Introduction

The proceedings of ECML/PKDD2003 are published in two volumes: the P- ceedings of the 14th European Conference on Machine Learning (LNAI 2837) and the Proceedings of the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases (LNAI 2838). The two conferences were held on September 22–26, 2003 in Cavtat, a small tourist town in the vicinity of Dubrovnik, Croatia. As machine learning and knowledge discovery are two highly related ?elds, theco-locationofbothconferencesisbene?cialforbothresearchcommunities.In Cavtat, ECML and PKDD were co-located for the third time in a row, following the successful co-location of the two European conferences in Freiburg (2001) and Helsinki (2002). The co-location of ECML2003 and PKDD2003 resulted in a joint program for the two conferences, including paper presentations, invited talks, tutorials, and workshops. Out of 332 submitted papers, 40 were accepted for publication in the ECML2003proceedings,and40wereacceptedforpublicationinthePKDD2003 proceedings. All the submitted papers were reviewed by three referees. In ad- tion to submitted papers, the conference program consisted of four invited talks, four tutorials, seven workshops, two tutorials combined with a workshop, and a discovery challenge.

Keywords

Boosting Support Vector Machine algorithms classification learning machine learning reinforcement learning supervised learning

Editors and affiliations

  • Nada Lavrač
    • 1
  • Dragan Gamberger
    • 2
  • Hendrik Blockeel
    • 3
  • Ljupčo Todorovski
    • 4
  1. 1.University of Nova GoricaNova GoricaSlovenia
  2. 2.Rudjer Bošković InstituteZagrebCroatia
  3. 3.Leiden Institute of Advanced Computer ScienceLeiden University 
  4. 4.Jozef Stefan InstituteLjubljanaSlovenia

Bibliographic information

  • DOI https://doi.org/10.1007/b13633
  • Copyright Information Springer-Verlag Berlin Heidelberg 2003
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-20121-2
  • Online ISBN 978-3-540-39857-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book