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Knowledge Acquisition: Selected Research and Commentary - A Special Issue of Machine Learning on Knowledge Acquisition (Paperback, Softcover reprint of the original 1st ed. 1990) Loot Price: R2,617
Discovery Miles 26 170
Knowledge Acquisition: Selected Research and Commentary - A Special Issue of Machine Learning on Knowledge Acquisition...

Knowledge Acquisition: Selected Research and Commentary - A Special Issue of Machine Learning on Knowledge Acquisition (Paperback, Softcover reprint of the original 1st ed. 1990)

Sandra Marcus

Series: The Springer International Series in Engineering and Computer Science, 92

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Loot Price R2,617 Discovery Miles 26 170 | Repayment Terms: R245 pm x 12*

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What follows is a sampler of work in knowledge acquisition. It comprises three technical papers and six guest editorials. The technical papers give an in-depth look at some of the important issues and current approaches in knowledge acquisition. The editorials were pro duced by authors who were basically invited to sound off. I've tried to group and order the contributions somewhat coherently. The following annotations emphasize the connections among the separate pieces. Buchanan's editorial starts on the theme of "Can machine learning offer anything to expert systems?" He emphasizes the practical goals of knowledge acquisition and the challenge of aiming for them. Lenat's editorial briefly describes experience in the development of CYC that straddles both fields. He outlines a two-phase development that relies on an engineering approach early on and aims for a crossover to more automated techniques as the size of the knowledge base increases. Bareiss, Porter, and Murray give the first technical paper. It comes from a laboratory of machine learning researchers who have taken an interest in supporting the development of knowledge bases, with an emphasis on how development changes with the growth of the knowledge base. The paper describes two systems. The first, Protos, adjusts the training it expects and the assistance it provides as its knowledge grows. The second, KI, is a system that helps integrate knowledge into an already very large knowledge base."

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: The Springer International Series in Engineering and Computer Science, 92
Release date: September 2011
First published: 1990
Editors: Sandra Marcus
Dimensions: 235 x 155 x 9mm (L x W x T)
Format: Paperback
Pages: 152
Edition: Softcover reprint of the original 1st ed. 1990
ISBN-13: 978-1-4612-8821-3
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 1-4612-8821-5
Barcode: 9781461288213

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