Machine Learning: ECML 2004

15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004. Proceedings

ISBN: 978-3-540-23105-9 (Print) 978-3-540-30115-8 (Online)

Table of contents (56 chapters)

previous Page of 3
  1. Front Matter

    Pages -

  2. Invited Papers

    1. No Access

      Book Chapter

      Pages 1-7

      Random Matrices in Data Analysis

    2. No Access

      Book Chapter

      Pages 8-8

      Data Privacy

    3. No Access

      Book Chapter

      Pages 9-16

      Breaking Through the Syntax Barrier: Searching with Entities and Relations

    4. No Access

      Book Chapter

      Pages 17-17

      Real-World Learning with Markov Logic Networks

    5. No Access

      Book Chapter

      Pages 18-26

      Strength in Diversity: The Advance of Data Analysis

  3. Contributed Papers

    1. No Access

      Book Chapter

      Pages 27-38

      Filtered Reinforcement Learning

    2. No Access

      Book Chapter

      Pages 39-50

      Applying Support Vector Machines to Imbalanced Datasets

    3. No Access

      Book Chapter

      Pages 51-62

      Sensitivity Analysis of the Result in Binary Decision Trees

    4. No Access

      Book Chapter

      Pages 63-74

      A Boosting Approach to Multiple Instance Learning

    5. No Access

      Book Chapter

      Pages 75-86

      An Experimental Study of Different Approaches to Reinforcement Learning in Common Interest Stochastic Games

    6. No Access

      Book Chapter

      Pages 87-98

      Learning from Message Pairs for Automatic Email Answering

    7. No Access

      Book Chapter

      Pages 99-110

      Concept Formation in Expressive Description Logics

    8. No Access

      Book Chapter

      Pages 111-122

      Multi-level Boundary Classification for Information Extraction

    9. No Access

      Book Chapter

      Pages 123-133

      An Analysis of Stopping and Filtering Criteria for Rule Learning

    10. No Access

      Book Chapter

      Pages 134-143

      Adaptive Online Time Allocation to Search Algorithms

    11. No Access

      Book Chapter

      Pages 144-155

      Model Approximation for HEXQ Hierarchical Reinforcement Learning

    12. No Access

      Book Chapter

      Pages 156-167

      Iterative Ensemble Classification for Relational Data: A Case Study of Semantic Web Services

    13. No Access

      Book Chapter

      Pages 168-179

      Analyzing Multi-agent Reinforcement Learning Using Evolutionary Dynamics

    14. No Access

      Book Chapter

      Pages 180-191

      Experiments in Value Function Approximation with Sparse Support Vector Regression

    15. No Access

      Book Chapter

      Pages 192-204

      Constructive Induction for Classifying Time Series

previous Page of 3