Innovations in machine learning : theory and applications /

Innovations in machine learning : theory and applications /

Saved in:

Bibliographic Details
Imprint:	Berlin ; New York : Springer, ©2006.
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:	Machine learning. Artificial intelligence. Artificial intelligence. Machine learning.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11068937

Hidden Bibliographic Details
Other authors / contributors:	Holmes, Dawn E. Jain, L. C.
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

Description
Summary:	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.
Physical Description:	1 online resource (xvi, 274 pages) : illustrations.
Bibliography:	Includes bibliographical references and index.
ISBN:	9783540334866 3540334866 3540306099 9783540306092 1280610581 9781280610585
ISSN:	1860-0808 ;