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Author: Phillip Ndlovu
Publisher: Lulu.com
ISBN: 0359352707
Category :
Languages : en
Pages : 88
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Book Description
Author: Phillip Ndlovu
Publisher: Lulu.com
ISBN: 0359352707
Category :
Languages : en
Pages : 88
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Book Description
Author: Machine Learning
Publisher: Morgan Kaufmann
ISBN: 1483298175
Category : Computers
Languages : en
Pages : 661
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Book Description
Machine Learning
Author: California (State).
Publisher:
ISBN:
Category : Law
Languages : en
Pages : 42
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Book Description
Author: Robert Campbell
Publisher:
ISBN: 1610597451
Category : Pistols
Languages : en
Pages : 260
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Author: William Jerome Harrison
Publisher:
ISBN:
Category :
Languages : en
Pages : 296
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Book Description
Author: United States. Federal Communications Commission
Publisher:
ISBN:
Category : Radio
Languages : en
Pages : 1358
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Author: Bob Wielinga
Publisher: IOS Press
ISBN: 9789051990362
Category : Computers
Languages : en
Pages : 390
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Book Description
Knowledge acquisition has become a major area of artificial intelligence and cognitive science research. The papers in this book show that the area of knowledge acquisition for knowledge-based systems is still a diverse field in which a large number of research topics are being addressed. However, several main themes run through the papers. First, the issues of integrating knowledge from different sources and K.A. tools is a salient topic in many papers. A second major topic in the papers is that of knowledge modelling. Research in knowledge-based systems emphasises the use of generic models of reasoning and its underlying knowledge. An important trend in the area of knowledge modelling aims at the formalisation of knowledge models. Where the field of knowledge acquisition was without tools and techniques years ago, now there is a rapidly growing body of techniques and tools. Apart from the integrated workbenches already mentioned above, several papers in this book present new tools. Although knowledge acquisition and machine learning have been considered as separate subfields of AI, there is a tendency for the two fields to come together. This publication combines machine learning techniques with more conventional knowledge elicitation techniques. A framework is presented in which reasoning, problem solving and learning together form a knowledge intensive system that can acquire knowledge from its own experience.
Author:
Publisher:
ISBN:
Category : Astronomy
Languages : en
Pages : 296
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Author:
Publisher:
ISBN:
Category : Encyclopedias and dictionaries
Languages : en
Pages : 894
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Author: Ransford Tetteh
Publisher: Graphic Communications Group
ISBN:
Category :
Languages : en
Pages : 32
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