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
Algebraic Geometry and Statistical Learning Theory
Language: en
Pages: 295
Authors: Sumio Watanabe
Categories: Computers
Type: BOOK - Published: 2009-08-13 - Publisher: Cambridge University Press

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Sure to be influential, Watanabe's book lays the foundations for the use of algebraic geometry in statistical learning theory. Many models/machines are singular
Reliable Reasoning
Language: en
Pages: 119
Authors: Gilbert Harman
Categories: Psychology
Type: BOOK - Published: 2012-01-13 - Publisher: MIT Press

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The implications for philosophy and cognitive science of developments in statistical learning theory. In Reliable Reasoning, Gilbert Harman and Sanjeev Kulkarni