Information Theory and Statistical Learning

Information Theory and Statistical Learning
Author: Frank Emmert-Streib
Publisher: Springer Science & Business Media
Total Pages: 443
Release: 2009
Genre: Computers
ISBN: 0387848150


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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.


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
Pages: 694
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
The Nature of Statistical Learning Theory
Language: en
Pages: 324
Authors: Vladimir Vapnik
Categories: Mathematics
Type: BOOK - Published: 2013-06-29 - Publisher: Springer Science & Business Media

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The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a gene
Information Theoretic Learning
Language: en
Pages: 538
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
Statistical Learning Theory and Stochastic Optimization
Language: en
Pages: 278
Authors: Olivier Catoni
Categories: Mathematics
Type: BOOK - Published: 2004-08-30 - Publisher: Springer

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Statistical learning theory is aimed at analyzing complex data with necessarily approximate models. This book is intended for an audience with a graduate backgr