Articles liés à Innovations in Machine Learning: Theory And Applications
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
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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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurSpringer-Verlag Berlin and Heidelberg GmbH & Co. K
- Date d'édition2006
- ISBN 10 3540306099
- ISBN 13 9783540306092
- ReliureRelié
- Langueanglais
- Nombre de pages276
- ÉditeurHolmes Dawn E.
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Innovations in Machine Learning: Theory and Applications (Studies in Fuzziness and Soft Computing, 194)
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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Innovations in Machine Learning
Edité par
Springer Berlin Heidelberg Mrz 2006, 2006
ISBN 10 : 3540306099
ISBN 13 : 9783540306092
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 296 pp. Englisch. N° de réf. du vendeur 9783540306092
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Innovations in Machine Learning: Theory and Applications (Studies in Fuzziness and Soft Computing, 194)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Etat : New. In. N° de réf. du vendeur ria9783540306092_new
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Innovations in Machine Learning
Edité par
Springer Berlin Heidelberg, 2006
ISBN 10 : 3540306099
ISBN 13 : 9783540306092
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Latest research in machine learningMachine 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 researche. N° de réf. du vendeur 4887418
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Innovations in Machine Learning : Theory and Applications
Edité par
Springer Berlin Heidelberg, 2006
ISBN 10 : 3540306099
ISBN 13 : 9783540306092
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783540306092
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