Skip to main content
SpringerLink
Log in
Book cover
  • Conference proceedings
  • © 2002

Machine Learning: ECML 2002

13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002. Proceedings

Editors:

  1. Tapio Elomaa

    1. Department of Computer Science, University of Helsinki, Helsinki, Finland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Heikki Mannila

    1. Department of Computer Science, University of Helsinki, Helsinki, Finland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Hannu Toivonen

    1. Department of Computer Science, University of Helsinki, Helsinki, Finland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2430)

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 2002.

Sections

Buy it now

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
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

This is a preview of subscription content, log in via an institution to check for access.

Table of contents (45 papers)

  1. Contributed Papers

    3. Towards a Simple Clustering Criterion Based on Minimum Length Encoding

      • Marcus-Christopher Ludl, Gerhard Widmer
      Pages 258-270

    5. On-Line Support Vector Machine Regression

      • Mario Martin
      Pages 282-294

    6. Q-Cut—Dynamic Discovery of Sub-goals in Reinforcement Learning

      • Ishai Menache, Shie Mannor, Nahum Shimkin
      Pages 295-306

    7. A Multistrategy Approach to the Classification of Phases in Business Cycles

      • Katharina Morik, Stefan Rüping
      Pages 307-318

    8. A Robust Boosting Algorithm

      • Richard Nock, Patrice Lefaucheur
      Pages 319-331

    9. Case Exchange Strategies in Multiagent Learning

      • Santiago Ontanón, Enric Plaza
      Pages 331-344

    10. Inductive Confidence Machines for Regression

      • Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, Alex Gammerman
      Pages 345-356

    11. Macro-Operators in Multirelational Learning: A Search-Space Reduction Technique

      • Lourdes Pena Castillo, Stefan Wrobel
      Pages 357-368

    12. Propagation of Q-values in Tabular TD(λ)

      • Philippe Preux
      Pages 369-380

    13. Transductive Confidence Machines for Pattern Recognition

      • Kostas Proedrou, Ilia Nouretdinov, Volodya Vovk, Alex Gammerman
      Pages 381-390

    14. Characterizing Markov Decision Processes

      • Bohdana Ratitch, Doina Precup
      Pages 391-404

    15. Phase Transitions and Stochastic Local Search in k-Term DNF Learning

      • Ulrich Rückert, Stefan Kramer, Luc De Raedt
      Pages 405-417

    16. Discriminative Clustering: Optimal Contingency Tables by Learning Metrics

      • Janne Sinkkonen, Samuel Kaski, Janne Nikkilä
      Pages 418-430

    17. Boosting Density Function Estimators

      • Franck Thollard, Marc Sebban, Philippe Ezequel
      Pages 431-443

    18. Ranking with Predictive Clustering Trees

      • Ljupco Todorovski, Hendrik Blockeel, Saso Dzeroski
      Pages 444-455

    19. Support Vector Machines for Polycategorical Classification

      • Ioannis Tsochantaridis, Thomas Hofmann
      Pages 456-467

    20. Learning Classification with Both Labeled and Unlabeled Data

      • Jean-Noël Vittaut, Massih-Reza Amini, Patrick Gallinari
      Pages 468-479
Back to top

About this book

This book constitutes the refereed preceedings of the 13th European Conference on Machine Learning, ECML 2002, held in Helsinki, Finland in August 2002.
The 41 revised full papers presented together with 4 invited contributions were carefully reviewed and selected from numerous submissions. Among the topics covered are computational discovery, search strategies, Classification, support vector machines, kernel methods, rule induction, linear learning, decision tree learning, boosting, collaborative learning, statistical learning, clustering, instance-based learning, reinforcement learning, multiagent learning, multirelational learning, Markov decision processes, active learning, etc.
Back to top

Keywords

Back to top

Editors and Affiliations

  • Department of Computer Science, University of Helsinki, Helsinki, Finland

    Tapio Elomaa, Heikki Mannila, Hannu Toivonen

Back to top

Bibliographic Information

Back to top

Publish with us

Policies and ethics

Back to top
Access via your institution

Buy it now

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
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

Search

Navigation