Innovations in Machine Learning: Theory and Applications (Studies in Fuzziness and Soft Computing, 194)

ISBN 10: 3540306099 / ISBN 13: 9783540306092

Edité par Springer, 2006

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In. N° de réf. du vendeur ria9783540306092_new

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Titre : Innovations in Machine Learning: Theory and ...

Éditeur : Springer

Date d'édition : 2006

Reliure : Couverture rigide

Etat : New

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Synopsis :

Innovations in Machine Learning Covers the three main machine learning systems - symbolic learning, neural networks and genetic algorithms. This work also provides a tutorial on learning casual influences and is useful to theoreticians and application scientists/engineers in the broad area of artificial intelligence. Full description

Présentation de l'éditeur:

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.