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Machine Learning: ECML 2003

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

  • Conference proceedings
  • © 2003

Overview

Editors:
  1. Nada Lavrač

    1. University of Nova Gorica, Nova Gorica, Slovenia

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  2. Dragan Gamberger

    1. Rudjer Bošković Institute, Zagreb, Croatia

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  3. Hendrik Blockeel

    1. Leiden Institute of Advanced Computer Science, Leiden University,  

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  4. Ljupčo Todorovski

    1. Jozef Stefan Institute, Ljubljana, Slovenia

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

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

Included in the following conference series:

Conference proceedings info: ECML 2003.

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About this book

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.

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Table of contents (44 papers)

  1. Front Matter

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  3. Contributed Papers

    1. Support Vector Machines with Example Dependent Costs

      • Ulf Brefeld, Peter Geibel, Fritz Wysotzki
      Pages 23-34

    2. Abalearn: A Risk-Sensitive Approach to Self-play Learning in Abalone

      • Pedro Campos, Thibault Langlois
      Pages 35-46

    3. Life Cycle Modeling of News Events Using Aging Theory

      • Chien Chin Chen, Yao-Tsung Chen, Yeali Sun, Meng Chang Chen
      Pages 47-59

    4. Unambiguous Automata Inference by Means of State-Merging Methods

      • François Coste, Daniel Fredouille
      Pages 60-71

    5. Could Active Perception Aid Navigation of Partially Observable Grid Worlds?

      • Paul A. Crook, Gillian Hayes
      Pages 72-83

    6. Combined Optimization of Feature Selection and Algorithm Parameters in Machine Learning of Language

      • Walter Daelemans, Véronique Hoste, Fien De Meulder, Bart Naudts
      Pages 84-95

    7. Iteratively Extending Time Horizon Reinforcement Learning

      • Damien Ernst, Pierre Geurts, Louis Wehenkel
      Pages 96-107

    8. Volume under the ROC Surface for Multi-class Problems

      • César Ferri, José Hernández-Orallo, Miguel Angel Salido
      Pages 108-120

    9. Improving the AUC of Probabilistic Estimation Trees

      • César Ferri, Peter A. Flach, José Hernández-Orallo
      Pages 121-132

    10. Scaled CGEM: A Fast Accelerated EM

      • Jörg Fischer, Kristian Kersting
      Pages 133-144

    11. Pairwise Preference Learning and Ranking

      • Johannes Fürnkranz, Eyke Hüllermeier
      Pages 145-156

    12. A New Way to Introduce Knowledge into Reinforcement Learning

      • Pascal Garcia
      Pages 157-168

    13. Improvement of the State Merging Rule on Noisy Data in Probabilistic Grammatical Inference

      • Amaury Habrard, Marc Bernard, Marc Sebban
      Pages 169-180

    14. COllective INtelligence with Sequences of Actions

      • Pieter Jan ’t Hoen, Sander M. Bohte
      Pages 181-192

    15. Rademacher Penalization over Decision Tree Prunings

      • Matti Kääriäinen, Tapio Elomaa
      Pages 193-204
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Editors and Affiliations

  • University of Nova Gorica, Nova Gorica, Slovenia

    Nada Lavrač

  • Rudjer Bošković Institute, Zagreb, Croatia

    Dragan Gamberger

  • Leiden Institute of Advanced Computer Science, Leiden University,  

    Hendrik Blockeel

  • Jozef Stefan Institute, Ljubljana, Slovenia

    Ljupčo Todorovski

Bibliographic Information

  • Book Title: Machine Learning: ECML 2003

  • Book Subtitle: 14th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings

  • Editors: Nada Lavrač, Dragan Gamberger, Hendrik Blockeel, Ljupčo Todorovski

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/b13633

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2003

  • Softcover ISBN: 978-3-540-20121-2Published: 12 September 2003

  • eBook ISBN: 978-3-540-39857-8Published: 18 November 2003

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVI, 512

  • Topics: Artificial Intelligence, Algorithm Analysis and Problem Complexity, Mathematical Logic and Formal Languages

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