This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. With usual stamps and markings, In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9780125062305.

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Bibliographic Details

Title

Knowledge Acquisition and Machine Learning: Theory, Methods and Applications

Publisher

Academic Press

Publication Date

1993

Language

English

ISBN 10

0125062303

ISBN 13

9780125062305

Binding

Hardcover

Condition

Fair

Weight

700 grams

Seller catalogs

Science & Technology

About this title

Synopsis

For graduate-/research- level students and professors, this book integrates machine learning with knowledge acquisition to overcome the problems of building models for knowledge-based systems to maintain them successfully. It also reports on BLIP and MOBAL systems developed over the last decade, which illustrate a particular way of unifying knowledge acquisition and machine learning. Practically-orientated, theoretical skills have been used and tested in real-world applications.

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

About the Author

By Katharina Morik, Stefan Wrobel, Jorg-Uwe Kietz, and Werner Emde

"About this title" may belong to another edition of this title.

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