Knowledge Acquisition and Machine Learning Theory, Methods, and Applications

Name: Knowledge Acquisition and Machine Learning Theory, Methods, and Applications
Availability: OutOfStock
ISBN: 9780125062305

ISBN-10: 0125062303

ISBN-13: 9780125062305

Edition: 1993

Authors: Katharina Morik, Stefan Wrobel, Jorg-Uwe Kietz, Werner Emde

List price: $113.00

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Description:

* * 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

Book details

List price: $113.00
Copyright year: 1993
Publisher: Elsevier Science & Technology
Publication date: 8/2/1993
Binding: Hardcover
Pages: 305
Size: 6.30" wide x 9.45" long x 0.75" tall
Weight: 1.320
Language: English



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