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Information Theory and Statistical Learning - Softcover

 
9781441946508: Information Theory and Statistical Learning

Inhaltsangabe

"Information Theory and Statistical Learning" presents theoretical and practical results about information theoretic methods used in the context of statistical learning.

The book will present a comprehensive overview of the large range of different methods that have been developed in a multitude of contexts. Each chapter is written by an expert in the field. The book is intended for an interdisciplinary readership working in machine learning, applied statistics, artificial intelligence, biostatistics, computational biology, bioinformatics, web mining or related disciplines.

Advance Praise for "Information Theory and Statistical Learning":

"A new epoch has arrived for information sciences to integrate various disciplines such as information theory, machine learning, statistical inference, data mining, model selection etc. I am enthusiastic about recommending the present book to researchers and students, because it summarizes most of these new emerging subjects and methods, which are otherwise scattered in many places." Shun-ichi Amari, RIKEN Brain Science Institute, Professor-Emeritus at the University of Tokyo

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Information Theory and Statistical Learning presents theoretical and practical results about information theoretic methods used in the context of statistical learning.

The book will present a comprehensive overview of the large range of different methods that have been developed in a multitude of contexts. Each chapter is written by an expert in the field. The book is intended for an interdisciplinary readership working in machine learning, applied statistics, artificial intelligence, biostatistics, computational biology, bioinformatics, web mining or related disciplines.

Advance Praise for Information Theory and Statistical Learning:

"A new epoch has arrived for information sciences to integrate various disciplines such as information theory, machine learning, statistical inference, data mining, model selection etc. I am enthusiastic about recommending the present book to researchers and students, because it summarizes most of these new emerging subjects and methods, which are otherwise scattered in many places."

-- Shun-ichi Amari, RIKEN Brain Science Institute,  Professor-Emeritus at the University of Tokyo

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  • VerlagSpringer
  • Erscheinungsdatum2010
  • ISBN 10 1441946500
  • ISBN 13 9781441946508
  • EinbandTapa blanda
  • SpracheEnglisch
  • Anzahl der Seiten452
  • HerausgeberEmmert-Streib Frank, Dehmer Matthias
  • Kontakt zum HerstellerNicht verfügbar

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9780387848150: Information Theory and Statistical Learning

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ISBN 10:  0387848150 ISBN 13:  9780387848150
Verlag: Springer, 2008
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Matthias Dehmer
Verlag: Springer US, Springer US, 2010
ISBN 10: 1441946500 ISBN 13: 9781441946508
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 'Information Theory and Statistical Learning' presents theoretical and practical results about information theoretic methods used in the context of statistical learning. The book will present a comprehensive overview of the large range of different methods that have been developed in a multitude of contexts. Each chapter is written by an expert in the field. The book is intended for an interdisciplinary readership working in machine learning, applied statistics, artificial intelligence, biostatistics, computational biology, bioinformatics, web mining or related disciplines.Advance Praise for 'Information Theory and Statistical Learning':'A new epoch has arrived for information sciences to integrate various disciplines such as information theory, machine learning, statistical inference, data mining, model selection etc. I am enthusiastic about recommending the present book to researchers and students, because it summarizes most of these new emerging subjects and methods, which are otherwise scattered in many places.' Shun-ichi Amari, RIKEN Brain Science Institute, Professor-Emeritus at the University of Tokyo. Artikel-Nr. 9781441946508

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Verlag: Springer, 2010
ISBN 10: 1441946500 ISBN 13: 9781441946508
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