Information Theory Statistical Learning (46 results)

hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

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hardcover. Condition: Good. Cover slightly soiled. Cover and edges may have some wear. Loose binding, good reading copy.

Condition: New.

Condition: New. 2024th edition NO-PA16APR2015-KAP.

Hardcover. Condition: Gut. 2. Auflage. ZUSTAND GUT.

Condition: New.

Condition: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.

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Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New. In English.

Condition: New.

Condition: New. pp. 452.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New. pp. 452 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

Condition: New. In English.

Taschenbuch. Condition: 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.…

Taschenbuch. Condition: Neu. Exercises in Applied Mathematics | With a View toward Information Theory, Machine Learning, Wavelets, and Statistical Physics | Daniel Alpay | Taschenbuch | Chapman Mathematical Notes | ix | Englisch | 2025 | Springer | EAN 9783031518249 | Verantwortliche Person für die EU: Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Buch. Condition: 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.…

Condition: New. 2024. 2024 ed. hardcover. . . . . .

Condition: New. In English.

Condition: New. pp. 452.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This text presents a collection of mathematical exercises with the aim of guiding readers to study topics in statistical physics, equilibrium thermodynamics, information theory, and their various connections. It explores essential tools from linear algebra, elementary functional analysis, and probability theory in detail and demonstrates their applications in topics such as entropy, machine learning, error-correcting codes, and quantum channels. The theory of communication and signal theory are also in the background, and many exercises have been chosen from the theory of wavelets and machine learning. Exercises are selected from a number of different domains, both theoretical and more applied. Notes and other remarks provide motivation for the exercises, and hints and full solutions are given for many. For senior undergraduate and beginning graduate students majoring in mathematics, physics, or engineering, this text will serve as a valuable guide as theymove on to more advanced work.…

Taschenbuch. Condition: Neu. Information Theory and Statistical Learning | Frank Emmert-Streib (u. a.) | Taschenbuch | x | Englisch | 2010 | Springer | EAN 9781441946508 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

hardcover. Condition: New. In shrink wrap. Looks like an interesting title.

Condition: New. 2024. 2024 ed. hardcover. . . . . . Books ship from the US and Ireland.

Hardcover. Condition: Brand New. 703 pages. 9.26x6.11x9.21 inches. In Stock.