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Machine Learning: ECML-93

European Conference on Machine Learning, Vienna, Austria, April 5-7, 1993. Proceedings

  • Conference proceedings
  • © 1993

Overview

Editors:
  1. Pavel B. Brazdil
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 667)

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

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Table of contents (41 papers)

  1. Front Matter

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  2. FOIL: A midterm report

    • J. R. Quinlan, R. M. Cameron-Jones
    Pages 1-20

  3. Inductive logic programming: Derivations, successes and shortcomings

    • Stephen Muggleton
    Pages 21-37

  4. Two methods for improving inductive logic programming systems

    • Irene Stahl, Birgit Tausend, Rüdiger Wirth
    Pages 39-55

  5. Generalization under implication by using or-introduction

    • Peter Idestam-Almquist
    Pages 56-64

  6. On the proper definition of minimality in specialization and theory revision

    • Stefan Wrobel
    Pages 65-82

  7. Predicate invention in inductive data engineering

    • Peter A. Flach
    Pages 83-94

  8. Subsumption and refinement in model inference

    • Patrick R. J. van der Laag, Shan-Hwei Nienhuys-Cheng
    Pages 95-114

  9. Some lower bounds for the computational complexity of inductive logic programming

    • Jörg-Uwe Kietz
    Pages 115-123

  10. Improving example-guided unfolding

    • Henrik Boström
    Pages 124-135

  11. Bayes and pseudo-Bayes estimates of conditional probabilities and their reliability

    • James Cussens
    Pages 136-152

  12. Induction of recursive Bayesian classifiers

    • Pat Langley
    Pages 153-164

  13. Decision tree pruning as a search in the state space

    • Floriana Esposito, Donate Malerba, Giovanni Semeraro
    Pages 165-184

  14. Controlled redundancy in incremental rule learning

    • Luis Torgo
    Pages 185-195

  15. Getting order independence in incremental learning

    • Antoine Cornuéjols
    Pages 196-212

  16. Feature selection using rough sets theory

    • Maciej Modrzejewski
    Pages 213-226

  17. Effective learning in dynamic environments by explicit context tracking

    • Gerhard Widmer, Miroslav Kubat
    Pages 227-243

  18. COBBIT—A control procedure for COBWEB in the presence of concept drift

    • Fredrik Kilander, Carl Gustaf Jansson
    Pages 244-261

  19. Genetic algorithms for protein tertiary structure prediction

    • Steffen Schulze-Kremer
    Pages 262-279

  20. SIA: A supervised inductive algorithm with genetic search for learning attributes based concepts

    • Gilles Venturini
    Pages 280-296
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Keywords

About this book

This volume contains the proceedings of the Eurpoean Conference on Machine Learning (ECML-93), continuing the tradition of the five earlier EWSLs (European Working Sessions on Learning). The aim of these conferences is to provide a platform for presenting the latest results in the area of machine learning. The ECML-93 programme included invited talks, selected papers, and the presentation of ongoing work in poster sessions. The programme was completed by several workshops on specific topics. The volume contains papers related to all these activities. The first chapter of the proceedings contains two invited papers, one by Ross Quinlan and one by Stephen Muggleton on inductive logic programming. The second chapter contains 18 scientific papers accepted for the main sessions of the conference. The third chapter contains 18 shorter position papers. The final chapter includesthree overview papers related to the ECML-93 workshops.

Bibliographic Information

  • Book Title: Machine Learning: ECML-93

  • Book Subtitle: European Conference on Machine Learning, Vienna, Austria, April 5-7, 1993. Proceedings

  • Editors: Pavel B. Brazdil

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/3-540-56602-3

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1993

  • Softcover ISBN: 978-3-540-56602-1Published: 23 March 1993

  • eBook ISBN: 978-3-540-47597-2Published: 06 July 2005

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XII, 480

  • Topics: Artificial Intelligence

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