Machine Learning: ECML 2002

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

Editors:

ISBN: 978-3-540-44036-9 (Print) 978-3-540-36755-0 (Online)

Table of contents (45 chapters)

previous Page of 3
  1. Contributed Papers

    1. No Access

      Book Chapter

      Pages 1-9

      Convergent Gradient Ascent in General-Sum Games

    2. No Access

      Book Chapter

      Pages 10-22

      Revising Engineering Models: Combining Computational Discovery with Knowledge

    3. No Access

      Book Chapter

      Pages 23-34

      Variational Extensions to EM and Multinomial PCA

    4. No Access

      Book Chapter

      Pages 35-47

      Learning and Inference for Clause Identification

    5. No Access

      Book Chapter

      Pages 48-59

      An Empirical Study of Encoding Schemes and Search Strategies in Discovering Causal Networks

    6. No Access

      Book Chapter

      Pages 60-72

      Variance Optimized Bagging

    7. No Access

      Book Chapter

      Pages 72-83

      How to Make AdaBoost.M1 Work for Weak Base Classifiers by Changing Only One Line of the Code

    8. No Access

      Book Chapter

      Pages 84-96

      Sparse Online Greedy Support Vector Regression

    9. No Access

      Book Chapter

      Pages 97-110

      Pairwise Classification as an Ensemble Technique

    10. No Access

      Book Chapter

      Pages 111-123

      RIONA: A Classifier Combining Rule Induction and k-NN Method with Automated Selection of Optimal Neighbourhood

    11. No Access

      Book Chapter

      Pages 124-134

      Using Hard Classifiers to Estimate Conditional Class Probabilities

    12. No Access

      Book Chapter

      Pages 135-147

      Evidence that Incremental Delta-Bar-Delta Is an Attribute-Efficient Linear Learner

    13. No Access

      Book Chapter

      Pages 148-160

      Scaling Boosting by Margin-Based Inclusion of Features and Relations

    14. No Access

      Book Chapter

      Pages 161-172

      Multiclass Alternating Decision Trees

    15. No Access

      Book Chapter

      Pages 173-184

      Possibilistic Induction in Decision-Tree Learning

    16. No Access

      Book Chapter

      Pages 185-194

      Improved Smoothing for Probabilistic Suffix Trees Seen as Variable Order Markov Chains

    17. No Access

      Book Chapter

      Pages 195-207

      Collaborative Learning of Term-Based Concepts for Automatic Query Expansion

    18. No Access

      Book Chapter

      Pages 207-218

      Learning to Play a Highly Complex Game from Human Expert Games

    19. No Access

      Book Chapter

      Pages 219-231

      Reliable Classifications with Machine Learning

    20. No Access

      Book Chapter

      Pages 232-244

      Robustness Analyses of Instance-Based Collaborative Recommendation

previous Page of 3