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© 2005

Machine Learning: ECML 2005

16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005. Proceedings

  • João Gama
  • Rui Camacho
  • Pavel B. Brazdil
  • Alípio Mário Jorge
  • Luís Torgo
Conference proceedings ECML 2005

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3720)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 3720)

Table of contents

  1. Long Papers

    1. Aloak Kapoor, Russell Greiner
      Pages 170-181
    2. Wolf Kienzle, Bernhard Schölkopf
      Pages 182-193
    3. Hans van Kuilenburg, Marco Wiering, Marten den Uyl
      Pages 194-205
    4. François Laviolette, Mario Marchand, Mohak Shah
      Pages 206-217
    5. Shiau Hong Lim, Gerald DeJong
      Pages 230-241
    6. Hsuan-Tien Lin, Ling Li
      Pages 242-254
    7. Prem Melville, Stewart M. Yang, Maytal Saar-Tsechansky, Raymond Mooney
      Pages 268-279
    8. Jan Peters, Sethu Vijayakumar, Stefan Schaal
      Pages 280-291
    9. Stefan Raeymaekers, Maurice Bruynooghe, Jan Van den Bussche
      Pages 305-316
    10. Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski
      Pages 341-352
    11. Guy Shani, Ronen I. Brafman, Solomon E. Shimony
      Pages 353-364
    12. Shengli Sheng, Charles X. Ling, Qiang Yang
      Pages 365-376
    13. Jaemo Sung, Sung-Yang Bang, Seungjin Choi, Zoubin Ghahramani
      Pages 377-388
    14. Kari Torkkola, Eugene Tuv
      Pages 400-411

Other volumes

  1. Machine Learning: ECML 2005
    16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005. Proceedings
  2. 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, October 3-7, 2005. Proceedings

About these proceedings

Introduction

The European Conference on Machine Learning (ECML) and the European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) were jointly organized this year for the ?fth time in a row, after some years of mutual independence before. After Freiburg (2001), Helsinki (2002), Cavtat (2003) and Pisa (2004), Porto received the 16th edition of ECML and the 9th PKDD in October 3–7. Having the two conferences together seems to be working well: 585 di?erent paper submissions were received for both events, which maintains the high s- mission standard of last year. Of these, 335 were submitted to ECML only, 220 to PKDD only and 30 to both. Such a high volume of scienti?c work required a tremendous e?ort from Area Chairs, Program Committee members and some additional reviewers. On average, PC members had 10 papers to evaluate, and Area Chairs had 25 papers to decide upon. We managed to have 3 highly qua- ?edindependentreviewsperpaper(withveryfewexceptions)andoneadditional overall input from one of the Area Chairs. After the authors’ responses and the online discussions for many of the papers, we arrived at the ?nal selection of 40 regular papers for ECML and 35 for PKDD. Besides these, 32 others were accepted as short papers for ECML and 35 for PKDD. This represents a joint acceptance rate of around 13% for regular papers and 25% overall. We thank all involved for all the e?ort with reviewing and selection of papers. Besidesthecoretechnicalprogram,ECMLandPKDDhad6invitedspeakers, 10 workshops, 8 tutorials and a Knowledge Discovery Challenge.

Keywords

Bayesian network Boosting Hidden Markov Model Markov decision process Support Vector Machine algorithmic learning association rule mining case-based learning classifier systems inductive inference k-Means knowledge discovery machine learning reinforcement learning statistical learning algorithm analysis and problem complexity

Editors and affiliations

  • João Gama
    • 1
  • Rui Camacho
    • 2
  • Pavel B. Brazdil
    • 3
  • Alípio Mário Jorge
    • 4
  • Luís Torgo
    • 5
  1. 1.Faculty of Economics of the University of PortoPortugal
  2. 2.Faculdade de Engenharia & LIAADUniversidade do PortoPortugal
  3. 3.LIAAD-INESC Porto L.A./Faculty of EconomicsUniversity of PortoPortoPortugal
  4. 4.LIACC/FEPUniversidade do PortoPortugal
  5. 5.LIAAD-INESC Porto LA / FEPUniversity of PortoPortoPortugal

Bibliographic information