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Machine Learning: ECML 2001

12th European Conference on Machine Learning, Freiburg, Germany, September 5-7, 2001. Proceedings

  • Conference proceedings
  • © 2001

Overview

Editors:
  1. Luc Raedt

    1. Department of Computer Science, Albert-Ludwigs University Freiburg, Freiburg, Germany

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  2. Peter Flach

    1. Department of Computer Science, University of Bristol, Bristol, UK

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2167)

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

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Table of contents (55 papers)

  1. Front Matter

    Pages I-XVII
    Download chapter PDF

  2. Regular Papers

    1. An Axiomatic Approach to Feature Term Generalization

      • Hassan Aït-Kaci, Yutaka Sasaki
      Pages 1-12

    2. Lazy Induction of Descriptions for Relational Case-Based Learning

      • Eva Armengol, Enric Plaza
      Pages 13-24

    3. Estimating the Predictive Accuracy of a Classifier

      • Hilan Bensusan, Alexandros Kalousis
      Pages 25-36

    4. Improving the Robustness and Encoding Complexity of Behavioural Clones

      • Rui Camacho, Pavel Brazdil
      Pages 37-48

    5. A Framework for Learning Rules from Multiple Instance Data

      • Yann Chevaleyre, Jean-Daniel Zucker
      Pages 49-60

    6. Wrapping Web Information Providers by Transducer Induction

      • Boris Chidlovskii
      Pages 61-72

    7. Learning While Exploring: Bridging the Gaps in the Eligibility Traces

      • Fredrik A. Dahl, Ole Martin Halck
      Pages 73-84

    8. A Reinforcement Learning Algorithm Applied to Simplified Two-Player Texas Hold’em Poker

      • Fredrik A. Dahl
      Pages 85-96

    9. Speeding Up Relational Reinforcement Learning through the Use of an Incremental First Order Decision Tree Learner

      • Kurt Driessens, Jan Ramon, Hendrik Blockeel
      Pages 97-108

    10. Analysis of the Performance of AdaBoost.M2 for the Simulated Digit-Recognition-Example

      • Günther Eibl, Karl Peter Pfeiffer
      Pages 109-120

    11. Iterative Double Clustering for Unsupervised and Semi-supervised Learning

      • Ran El-Yaniv, Oren Souroujon
      Pages 121-132

    12. On the Practice of Branching Program Boosting

      • Tapio Elomaa, Matti Kääriäinen
      Pages 133-144

    13. A Simple Approach to Ordinal Classification

      • Eibe Frank, Mark Hall
      Pages 145-156

    14. Fitness Distance Correlation of Neural Network Error Surfaces: A Scalable, Continuous Optimization Problem

      • Marcus Gallagher
      Pages 157-166

    15. Extraction of Recurrent Patterns from Stratified Ordered Trees

      • Jean-Gabriel Ganascia
      Pages 167-178

    16. Understanding Probabilistic Classifiers

      • Ashutosh Garg, Dan Roth
      Pages 179-191

    17. Efficiently Determining the Starting Sample Size for Progressive Sampling

      • Baohua Gu, Bing Liu, Feifang Hu, Huan Liu
      Pages 192-202

    18. Using Subclasses to Improve Classification Learning

      • Achim Hoffmann, Rex Kwok, Paul Compton
      Pages 203-213

    19. Learning What People (Don’t) Want

      • Thomas Hofmann
      Pages 214-225
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Keywords

About this book

This book constitutes the refereed proceedings of the 12th European Conference on Machine Learning, ECML 2001, held in Freiburg, Germany, in September 2001.
The 50 revised full papers presented together with four invited contributions were carefully reviewed and selected from a total of 140 submissions. Among the topics covered are classifier systems, naive-Bayes classification, rule learning, decision tree-based classification, Web mining, equation discovery, inductive logic programming, text categorization, agent learning, backpropagation, reinforcement learning, sequence prediction, sequential decisions, classification learning, sampling, and semi-supervised learning.

Editors and Affiliations

  • Department of Computer Science, Albert-Ludwigs University Freiburg, Freiburg, Germany

    Luc Raedt

  • Department of Computer Science, University of Bristol, Bristol, UK

    Peter Flach

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