Machine Learning: ECML 2006

17th European Conference on Machine Learning Berlin, Germany, September 18-22, 2006 Proceedings

  • Johannes Fürnkranz
  • Tobias Scheffer
  • Myra Spiliopoulou

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4212)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 4212)

Table of contents

  1. Long Papers

    1. Bernd Gutmann, Kristian Kersting
      Pages 174-185
    2. Corneliu Henegar, Karine Clément, Jean-Daniel Zucker
      Pages 186-197
    3. Aleks Jakulin, Irina Rish
      Pages 198-209
    4. Sébastien Jodogne, Cyril Briquet, Justus H. Piater
      Pages 210-221
    5. Rasa Jurgelenaite, Tom Heskes
      Pages 234-245
    6. Ata Kabán, Xin Wang
      Pages 246-257
    7. Min Sub Kim, William Uther
      Pages 258-269
    8. Nathaniel J. King, Neil D. Lawrence
      Pages 270-281
    9. Levente Kocsis, Csaba Szepesvári
      Pages 282-293
    10. Jussi Kollin, Mikko Koivisto
      Pages 294-305
    11. Quoc V. Le, Alex J. Smola, Thomas Gärtner, Yasemin Altun
      Pages 306-317
    12. Martin Možina, Janez Demšar, Jure Žabkar, Ivan Bratko
      Pages 330-340
    13. Gisele L. Pappa, Alex A. Freitas
      Pages 341-352
    14. Tobias Pfingsten
      Pages 353-364
    15. Roberto Santana, Pedro Larrañaga, Jose A. Lozano
      Pages 365-376
    16. Martin Scholz
      Pages 377-388
    17. Guy Shani, Ronen I. Brafman, Solomon E. Shimony
      Pages 389-400
    18. Hyunjung (Helen) Shin, N. Jeremy Hill, Gunnar Rätsch
      Pages 401-412

Other volumes

  1. Machine Learning: ECML 2006
    17th European Conference on Machine Learning Berlin, Germany, September 18-22, 2006 Proceedings
  2. 10th European Conference on Principles and Practice of Knowledge Discovery in Databases Berlin, Germany, September 18-22, 2006 Proceedings

About these proceedings

Keywords

Boosting Support Vector Machine active learning algorithm algorithmic learning algorithms case-based learning classifier systems clustering algorithms knowledge discovery learning logic machine learning multiple-instance learning sensing

Editors and affiliations

  • Johannes Fürnkranz
    • 1
  • Tobias Scheffer
    • 2
  • Myra Spiliopoulou
    • 3
  1. 1.Knowledge Engineering GroupTechnische Universität Darmstadt 
  2. 2.Max Planck Institute for Computer ScienceSaarbrückenGermany
  3. 3.Faculty of Computer ScienceOtto-von-Guericke-University MagdeburgGermany

Bibliographic information

  • DOI https://doi.org/10.1007/11871842
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-45375-8
  • Online ISBN 978-3-540-46056-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book