Emerging Paradigms in Machine Learning - Couverture souple

9783642435744: Emerging Paradigms in Machine Learning

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ISBN 10 : 3642435742 ISBN 13 : 9783642435744

Editeur : Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 2014

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Covering state-of-the-art and emerging paradigms in machine learning, and featuring a number of real-world applications, this book also presents key topics and algorithms that form the core of machine learning (ML) research, including granular computing.

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�diteur: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Date d'�dition: 2014
Langue: anglais
ISBN 10: 3642435742
ISBN 13: 9783642435744
Reliure: Broch�
Nombre de pages: 520
�diteur: Ramanna Sheela, Jain Lakhmi C, Howlett Robert J.
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ISBN 10 : 3642435742 ISBN 13 : 9783642435744

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Emerging Paradigms in Machine Learning

Sheela Ramanna

Edit� par Springer Berlin Heidelberg Aug 2014, 2014

ISBN 10 : 3642435742 ISBN 13 : 9783642435744

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents fundamental topics and algorithms that form the core of machine learning (ML) research, as well as emerging paradigms in intelligent system design. The multidisciplinary nature of machine learning makes it a very fascinating and popular area for research. The book is aiming at students, practitioners and researchers and captures the diversity and richness of the field of machine learning and intelligent systems. Several chapters are devoted to computational learning models such as granular computing, rough sets and fuzzy sets An account of applications of well-known learning methods in biometrics, computational stylistics, multi-agent systems, spam classification including an extremely well-written survey on Bayesian networks shed light on the strengths and weaknesses of the methods. Practical studies yielding insight into challenging problems such as learning from incomplete and imbalanced data, pattern recognition of stochastic episodic events and on-line mining of non-stationary data streams are a key part of this book. 520 pp. Englisch. N� de r�f. du vendeur 9783642435744

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Emerging Paradigms in Machine Learning (eng)

Ramanna, Sheela

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ISBN 10 : 3642435742 ISBN 13 : 9783642435744

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Emerging Paradigms in Machine Learning

Ramanna, Sheela|Jain, Lakhmi C|Howlett, Robert J.

Edit� par Springer Berlin Heidelberg, 2014

ISBN 10 : 3642435742 ISBN 13 : 9783642435744

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. State of the art of emerging paradigms in machine learning including some real world applicationsLatest research in machine learning and biologically-based techniques for the design and implementation of intelligent systemsWritten by leadin. N� de r�f. du vendeur 5060844

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Emerging Paradigms in Machine Learning

Sheela Ramanna (u. a.)

Edit� par Springer, 2014

ISBN 10 : 3642435742 ISBN 13 : 9783642435744

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Emerging Paradigms in Machine Learning

Sheela Ramanna

Edit� par Springer, J.B. Metzler Aug 2014, 2014

ISBN 10 : 3642435742 ISBN 13 : 9783642435744

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents fundamental topics and algorithms that form the core of machine learning (ML) research, as well as emerging paradigms in intelligent system design. The multidisciplinary nature of machine learning makes it a very fascinating and popular area for research. The book is aiming at students, practitioners and researchers and captures the diversity and richness of the field of machine learning and intelligent systems. Several chapters are devoted to computational learning models such as granular computing, rough sets and fuzzy sets An account of applications of well-known learning methods in biometrics, computational stylistics, multi-agent systems, spam classification including an extremely well-written survey on Bayesian networks shed light on the strengths and weaknesses of the methods. Practical studies yielding insight into challenging problems such as learning from incomplete and imbalanced data, pattern recognition of stochastic episodic events and on-line mining of non-stationary data streams are a key part of this book.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 520 pp. Englisch. N� de r�f. du vendeur 9783642435744

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Emerging Paradigms in Machine Learning

Sheela Ramanna

Edit� par Springer Berlin Heidelberg, 2014

ISBN 10 : 3642435742 ISBN 13 : 9783642435744

Neuf Taschenbuch

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents fundamental topics and algorithms that form the core of machine learning (ML) research, as well as emerging paradigms in intelligent system design. The multidisciplinary nature of machine learning makes it a very fascinating and popular area for research. The book is aiming at students, practitioners and researchers and captures the diversity and richness of the field of machine learning and intelligent systems. Several chapters are devoted to computational learning models such as granular computing, rough sets and fuzzy sets An account of applications of well-known learning methods in biometrics, computational stylistics, multi-agent systems, spam classification including an extremely well-written survey on Bayesian networks shed light on the strengths and weaknesses of the methods. Practical studies yielding insight into challenging problems such as learning from incomplete and imbalanced data, pattern recognition of stochastic episodic events and on-line mining of non-stationary data streams are a key part of this book. N� de r�f. du vendeur 9783642435744

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Emerging Paradigms in Machine Learning (Smart Innovation, Systems and Technologies, 13)

Edit� par Springer, 2014

ISBN 10 : 3642435742 ISBN 13 : 9783642435744

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Paperback. Etat : Like New. Like New. book. N� de r�f. du vendeur ERICA79636424357426

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