Knowledge Acquisition and Machine Learning

1st Edition

Theory, Methods, and Applications

Authors:

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
Electronic ISBN:
9780080924892
Print ISBN:
9780125062305

About the authors