Innovations in machine learning : theory and applications /
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Imprint: | Berlin ; New York : Springer, ©2006. |
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Description: | 1 online resource (xvi, 274 pages) : illustrations. |
Language: | English |
Series: | Studies in fuzziness and soft computing, 1860-0808 ; v. 194 Studies in fuzziness and soft computing ; v. 194. |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11068937 |
Other authors / contributors: | Holmes, Dawn E. Jain, L. C. |
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ISBN: | 9783540334866 3540334866 3540306099 9783540306092 1280610581 9781280610585 |
Notes: | Includes bibliographical references and index. Print version record. |
Summary: | "Machine learning is currently one of the most rapidly growing areas of research in computer science. 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."--Jacket. |
Other form: | Print version: Innovations in machine learning. Berlin ; New York : Springer, ©2006 3540306099 9783540306092 |
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