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KNOWLEDGE ACQUISITION & MACHIN
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Artikel-Nr:
9780125062305
Seiten:
0
Gewicht:
604 g
Format:
241x161x25 mm
Beschreibung:
By Katharina Morik, Stefan Wrobel, Jorg-Uwe Kietz, and Werner Emde
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.
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.