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ISBN10: 0387848150, ISBN13: 9780387848150, [publisher: Springer] Hardcover Used book that is in excellent condition. May show signs of wear or have minor defects. [Mishawaka, IN, U.S.A.] [Publication Year: 2008]
ISBN10: 0387848150, ISBN13: 9780387848150, [publisher: Springer] Hardcover Used book that is in excellent condition. May show signs of wear or have minor defects. [Mishawaka, IN, U.S.A.] [Publication Year: 2008]
Springer. Used - Very Good. Used book that is in excellent condition. May show signs of wear or have minor defects. Springer ISBN 0387848150 9780387848150 [US]
ISBN10: 0387848150, ISBN13: 9780387848150, [publisher: Springer New York] Hardcover 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 [Einbeck, Germany] [Publication Year: 2008] ...
ISBN10: 0387848150, ISBN13: 9780387848150, [publisher: Springer New York] Hardcover 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 [Einbeck, Germany] [Publication Year: 2008] ...
Hard Cover. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; The Information Theory and Statistical Learning. ISBN 0387848150 9780387848150 [GB]
ISBN10: 0387848150, ISBN13: 9780387848150, [publisher: Springer Nature Singapore Nov 2008] Hardcover Neuware -Information Theory and Statistical Learning presents theoretical and practical results about information theoretic methods used in the context of statistical learning. [Zwiesel, Germany] [Publication Year: 2008]
ISBN10: 0387848150, ISBN13: 9780387848150, [publisher: Springer-Verlag New York Inc.] Hardcover This interdisciplinary text offers theoretical and practical results of information theoretic methods used in statistical learning. It presents a comprehensive overview of the many different methods that have been developed in numerous contexts. Editor(s): Emmert-Streib, Frank; Dehmer, Matthias. Num Pages: 439 pages, biography. BIC Classification: GPF; PBT; UYQ. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 25. Weight in Grams: 807. . 2008. Hardback. . . . . [Galway, GY, Ireland] [Publication Year: 2008]
In overall good condition, no pages missing. Shipping can take between 2-6weeks for international deliveries. Hardback copies may or may not have dust jackets, please get in contact for more information. ISBN 0387848150 9780387848150 [GB]
ISBN10: 0387848150, ISBN13: 9780387848150, [publisher: Springer-Verlag New York Inc.] Hardcover This interdisciplinary text offers theoretical and practical results of information theoretic methods used in statistical learning. It presents a comprehensive overview of the many different methods that have been developed in numerous contexts. Editor(s): Emmert-Streib, Frank; Dehmer, Matthias. Num Pages: 439 pages, biography. BIC Classification: GPF; PBT; UYQ. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 25. Weight in Grams: 807. . 2008. Hardback. . . . . Books ship from the US and Ireland. [Olney, MD, U.S.A.] [Publication Year: 2008]
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