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Information Theoretic Learning
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Authors: Jose C. Principe
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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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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
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This interdisciplinary text offers theoretical and practical results of information theoretic methods used in statistical learning. It presents a comprehensive
An Information-Theoretic Approach to Neural Computing
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Authors: Gustavo Deco
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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
Robust Recognition via Information Theoretic Learning
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Authors: Ran He
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This Springer Brief represents a comprehensive review of information theoretic methods for robust recognition. A variety of information theoretic methods have b