Knowledge Acquisition and Machine Learning: Theory, Methods, and Applications

Knowledge Acquisition and Machine Learning: Theory, Methods, and Applications

Katharina Morik , Stefan Wrobel , Jorg-Uwe Kietz
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1993 · Английский · Твердый переплет · Изданий: 2
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Описание

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.

Детали книги

Формат Твердый переплет
Язык Английский
Опубликовано Sep 27, 1993
Издатель Academic Press
Издания Изданий: 2
ISBN-10 0125062303
ISBN-13 9780125062305
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