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Machine Learning: ECML-98

10th European Conference on Machine Learning, Chemnitz, Germany, April 21-23, 1998, Proceedings

  • Conference proceedings
  • © 1998

Overview

Editors:
  1. Claire Nédellec
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  2. Céline Rouveirol
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1398)

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

Included in the following conference series:

Conference proceedings info: ECML 1998.

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Table of contents (48 papers)

  1. Front Matter

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  2. Learning in agent-oriented worlds

    • Kenneth De Jong
    Pages 1-3

  3. Naive (Bayes) at forty: The independence assumption in information retrieval

    • David D. Lewis
    Pages 4-15

  4. Learning verbal transitivity using loglinear models

    • Nuno Miguel Marques, Gabriel Pereira Lopes, Carlos Agra Coelho
    Pages 17-24

  5. Part-of-speech tagging using decision trees

    • Lluís Màrquez, Horacio Rodríguez
    Pages 25-36

  6. Inference of finite automata: Reducing the search space with an ordering of pairs of states

    • François Coste, Jacques Nicolas
    Pages 37-42

  7. Automatic acquisition of lexical knowledge from sparse and noisy data

    • René Schneider
    Pages 43-48

  8. A normalization method for contextual data: Experience from a large-scale application

    • Sylvain Létourneaue, Stan Matwin, Fazel Familie
    Pages 49-54

  9. Learning to classify x-ray images using relational learning

    • Claude Sammutl, Tatjana Zrimec
    Pages 55-60

  10. ILP experiments in detecting traffic problems

    • Sašo Džeroskil, Nico Jacobs, Martin Molina, Carlos Moure
    Pages 61-66

  11. Simulating children learning and explaining elementary heat transfer phenomena: A multistrategy system at work

    • Filippo Neri
    Pages 67-76

  12. Bayes optimal instance-based learning

    • Petri Kontkanen, Petri Myllymdki, Tomi Silander, Henry Tirri
    Pages 77-88

  13. Bayesian and information-theoretic priors for Bayesian network parameters

    • Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwalde
    Pages 89-94

  14. Feature subset selection in text-learning

    • Dunja Mladenić
    Pages 95-100

  15. A monotonic measure for optimal feature selection

    • Huan Liul, Hiroshi Motoda, Manoranjan Dash
    Pages 101-106

  16. Inducing models of human control skills

    • Rui Camachol
    Pages 107-118

  17. God doesn't always shave with Occam's razor — Learning when and how to prune

    • Hilan Bensusan
    Pages 119-124

  18. Error estimators for pruning regression trees

    • Luís Torgo
    Pages 125-130

  19. Pruning decision trees with misclassification costs

    • Jeffrey P. Bradford, Clayton Kunz, Ron Kohavi, Cliff Brunk, Carla E. Brodley
    Pages 131-136

  20. Text categorization with Support Vector Machines: Learning with many relevant features

    • Thorsten Joachims
    Pages 137-142
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Keywords

About this book

This book constitutes the refereed proceedings of the 10th European Conference on Machine Learning, ECML-98, held in Chemnitz, Germany, in April 1998.
The book presents 21 revised full papers and 25 short papers reporting on work in progress together with two invited contributions; the papers were selected from a total of 100 submissions. The book is divided in sections on applications of ML, Bayesian networks, feature selection, decision trees, support vector learning, multiple models for classification, inductive logic programming, relational learning, instance-based learning, clustering, genetic algorithms, reinforcement learning and neural networks.

Bibliographic Information

  • Book Title: Machine Learning: ECML-98

  • Book Subtitle: 10th European Conference on Machine Learning, Chemnitz, Germany, April 21-23, 1998, Proceedings

  • Editors: Claire Nédellec, Céline Rouveirol

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/BFb0026664

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1998

  • Softcover ISBN: 978-3-540-64417-0Published: 08 April 1998

  • eBook ISBN: 978-3-540-69781-7Published: 19 November 2005

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIV, 426

  • Topics: Artificial Intelligence, Algorithm Analysis and Problem Complexity

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