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

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Katharina Morik
Academic Press, 1993 - 305 Seiten
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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.

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Inhalt

The Knowledge Acquisition Framework
1
List of Figures
4
The Knowledge Representation Environment
27
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Handbook on Ontologies
Steffen Staab,Rudi Studer
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