Information Theoretic Learning

Information Theoretic Learning
Author: Jose C. Principe
Publisher: Springer Science & Business Media
Total Pages: 538
Release: 2010-04-06
Genre: Computers
ISBN: 1441915702
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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 compares the performance of ITL algorithms with the second order counterparts in many applications.


Information Theoretic Learning
Language: en
Pages: 538

Information Theoretic Learning

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
Language: en
Pages: 561

Information-Theoretic Methods in Data Science

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, Inference and Learning Algorithms
Language: en
Pages: 694

Information Theory, Inference and Learning Algorithms

Authors: David J. C. MacKay
Categories: Computers
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
Information Theory and Statistical Learning
Language: en
Pages: 443

Information Theory and Statistical Learning

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
An Information-Theoretic Approach to Neural Computing
Language: en
Pages: 265

An Information-Theoretic Approach to Neural Computing

Authors: Gustavo Deco
Categories: Computers
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