Innovations in Machine Learning :Theory and Applications - Studies in Fuzziness and Soft Computing

Innovations in Machine Learning

Innovations in Machine Learning :Theory and Applications - Studies in Fuzziness and Soft Computing

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Published: 23 November, 2010
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Description

Machine learning is currently one of the most rapidly growing areas of research in computer science. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. This book covers the three main learning systems; symbolic learning, neural networks and genetic algorithms as well as providing a tutorial on learning casual influences. Each of the nine chapters is self-contained.

Both theoreticians and application scientists/engineers in the broad area of artificial intelligence will find this volume valuable. It also provides a useful sourcebook for Postgraduate since it shows the direction of current research.

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More Details

Type Book
ISBN13 9783642067884
ISBN10 3642067883
Number Of Pages 276
Item Weight 1000 g
Publisher / Reseller Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Format paperback
Edition Softcover reprint of hardcover 1st ed. 2006
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