Knowledge Acquisition and Machine Learning

1st Edition

Theory, Methods, and Applications

Editors:

  • Katharina Morik
  • Stefan Wrobel
  • Jorg-Uwe Kietz
  • Werner Emde
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    Key Features

    * * Integrates machine learning with knowledge acquisition to overcome the problems of building models for knowledge based systems to maintain them successfully * Reports on BLIP and MOBAL systems that have been developed over the past 10 years, which illustrate a particular way of unifying knowledge acquisition and machine learning * Practically oriented--theoretical results have been used and tested in real-world applications from the start

    Table of Contents

    The Knowledge Acquisition Framework. The Knowledge Representation Environment. The Inference Im-2. The Sort Taxonomy. The Predicate Structure. Model-Driven Rule Discovery. Knowledge Revision. Concept Formation. Practical Experiences. Bibliography. Author Index. Name Index. Subject Index.

    Details

    No. of pages:
    305
    Language:
    English
    Copyright:
    © 1993
    Published:
    Imprint:
    Academic Press
    Print ISBN:
    9780125062305
    Electronic ISBN:
    9780080924892

    About the editors

    Katharina Morik

    Affiliations and Expertise

    Universitat Dortmund

    Stefan Wrobel

    Affiliations and Expertise

    GMD

    Jorg-Uwe Kietz

    Affiliations and Expertise

    GMD

    Werner Emde

    Affiliations and Expertise

    GMD