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  • Conference proceedings
  • © 2005

Machine Learning: ECML 2005

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

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

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Conference series link(s): ECML: European Conference on Machine Learning

Conference proceedings info: ECML 2005.

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Table of contents (78 papers)

  1. Long Papers

    1. Learning and Classifying Under Hard Budgets

      • Aloak Kapoor, Russell Greiner
      Pages 170-181
    2. Training Support Vector Machines with Multiple Equality Constraints

      • Wolf Kienzle, Bernhard Schölkopf
      Pages 182-193
    3. A Model Based Method for Automatic Facial Expression Recognition

      • Hans van Kuilenburg, Marco Wiering, Marten den Uyl
      Pages 194-205
    4. Margin-Sparsity Trade-Off for the Set Covering Machine

      • François Laviolette, Mario Marchand, Mohak Shah
      Pages 206-217
    5. Towards Finite-Sample Convergence of Direct Reinforcement Learning

      • Shiau Hong Lim, Gerald DeJong
      Pages 230-241
    6. Infinite Ensemble Learning with Support Vector Machines

      • Hsuan-Tien Lin, Ling Li
      Pages 242-254
    7. Active Learning for Probability Estimation Using Jensen-Shannon Divergence

      • Prem Melville, Stewart M. Yang, Maytal Saar-Tsechansky, Raymond Mooney
      Pages 268-279
    8. Natural Actor-Critic

      • Jan Peters, Sethu Vijayakumar, Stefan Schaal
      Pages 280-291
    9. Learning (k,l)-Contextual Tree Languages for Information Extraction

      • Stefan Raeymaekers, Maurice Bruynooghe, Jan Van den Bussche
      Pages 305-316
    10. On Discriminative Joint Density Modeling

      • Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski
      Pages 341-352
    11. Model-Based Online Learning of POMDPs

      • Guy Shani, Ronen I. Brafman, Solomon E. Shimony
      Pages 353-364
    12. Simple Test Strategies for Cost-Sensitive Decision Trees

      • Shengli Sheng, Charles X. Ling, Qiang Yang
      Pages 365-376
    13. Ensemble Learning with Supervised Kernels

      • Kari Torkkola, Eugene Tuv
      Pages 400-411

About this book

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.

Editors and Affiliations

  • Faculty of Economics of the University of Porto, Portugal

    João Gama

  • Faculdade de Engenharia & LIAAD, Universidade do Porto, Portugal

    Rui Camacho

  • LIAAD-INESC Porto L.A./Faculty of Economics, University of Porto, Porto, Portugal

    Pavel B. Brazdil

  • LIACC/FEP, Universidade do Porto, Portugal

    Alípio Mário Jorge

  • LIAAD-INESC Porto LA / FEP, University of Porto, Porto, Portugal

    Luís Torgo

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access