Machine Learning: ECML 2007

18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007. Proceedings

  • Editors
  • Joost N. Kok
  • Jacek Koronacki
  • Raomon Lopez de Mantaras
  • Stan Matwin
  • Dunja Mladenič
  • Andrzej Skowron

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4701)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 4701)

Table of contents

  1. Front Matter
  2. Invited Talks

  3. Long Papers

    1. David Andrzejewski, Anne Mulhern, Ben Liblit, Xiaojin Zhu
      Pages 6-17
    2. Leonor Becerra Bonache, Colin de la Higuera, Jean-Christophe Janodet, Frédéric Tantini
      Pages 18-29
    3. Paul N. Bennett
      Pages 30-41
    4. Steffen Börm, Jochen Garcke
      Pages 42-53
    5. Laurent Boyer, Amaury Habrard, Marc Sebban
      Pages 54-66
    6. John Burge, Terran Lane
      Pages 67-78
    7. Jérôme Callut, Pierre Dupont
      Pages 91-103
    8. Pinar Donmez, Jaime G. Carbonell, Paul N. Bennett
      Pages 116-127
    9. Kenneth Dwyer, Robert Holte
      Pages 128-139
    10. Thomas Gärtner, Gemma C. Garriga
      Pages 152-163
    11. Tony Jebara, Yingbo Song, Kapil Thadani
      Pages 164-175
    12. Angelika Kimmig, Luc De Raedt, Hannu Toivonen
      Pages 176-187

Other volumes

  1. Machine Learning: ECML 2007
    18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007. Proceedings
  2. 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, September 17-21, 2007. Proceedings
  3. ECML/PKDD 2007 Third International Workshop, MCD 2007, Warsaw, Poland, September 17-21, 2007, Revised Selected Papers

About these proceedings

Introduction

The two premier annual European conferences in the areas of machine learning and data mining have been collocated ever since the ?rst joint conference in Freiburg, 2001. The European Conference on Machine Learning (ECML) traces its origins to 1986, when the ?rst European Working Session on Learning was held in Orsay, France. The European Conference on Principles and Practice of KnowledgeDiscoveryinDatabases(PKDD) was?rstheldin1997inTrondheim, Norway. Over the years, the ECML/PKDD series has evolved into one of the largest and most selective international conferences in machine learning and data mining. In 2007, the seventh collocated ECML/PKDD took place during September 17–21 on the centralcampus of WarsawUniversityand in the nearby Staszic Palace of the Polish Academy of Sciences. The conference for the third time used a hierarchical reviewing process. We nominated 30 Area Chairs, each of them responsible for one sub-?eld or several closely related research topics. Suitable areas were selected on the basis of the submission statistics for ECML/PKDD 2006 and for last year’s International Conference on Machine Learning (ICML 2006) to ensure a proper load balance amongtheAreaChairs.AjointProgramCommittee(PC)wasnominatedforthe two conferences, consisting of some 300 renowned researchers, mostly proposed by the Area Chairs. This joint PC, the largest of the series to date, allowed us to exploit synergies and deal competently with topic overlaps between ECML and PKDD. ECML/PKDD 2007 received 592 abstract submissions. As in previous years, toassistthereviewersandtheAreaChairsintheir?nalrecommendationauthors had the opportunity to communicate their feedback after the reviewing phase.

Keywords

active learning algorithmic learning algorithms classifier systems cognition genetic programming inductive inference kernel methods knowledge discovery machine learning multiple-instance learning optimization programming reinforcement learning uncertainty

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-74958-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-74957-8
  • Online ISBN 978-3-540-74958-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book