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Information Theoretic Learning
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Authors: Jose C. Principe
Categories: Computers
Type: BOOK - Published: 2010-04-06 - Publisher: Springer Science & Business Media

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This book is the first cohesive treatment of ITL algorithms to adapt linear or nonlinear learning machines both in supervised and unsupervised paradigms. It com
Information-Theoretic Methods in Data Science
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Pages: 561
Authors: Miguel R. D. Rodrigues
Categories: Computers
Type: BOOK - Published: 2021-04-08 - Publisher: Cambridge University Press

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The first unified treatment of the interface between information theory and emerging topics in data science, written in a clear, tutorial style. Covering topics
Information Theory and Statistical Learning
Language: en
Pages: 443
Authors: Frank Emmert-Streib
Categories: Computers
Type: BOOK - Published: 2009 - Publisher: Springer Science & Business Media

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This interdisciplinary text offers theoretical and practical results of information theoretic methods used in statistical learning. It presents a comprehensive
Information Theory, Inference and Learning Algorithms
Language: en
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Authors: David J. C. MacKay
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Type: BOOK - Published: 2003-09-25 - Publisher: Cambridge University Press

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Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, sign
An Information-Theoretic Approach to Neural Computing
Language: en
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Authors: Gustavo Deco
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Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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A detailed formulation of neural networks from the information-theoretic viewpoint. The authors show how this perspective provides new insights into the design