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Language: en
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Type: BOOK - Published: 2009 - Publisher: Springer Science & Business Media
This interdisciplinary text offers theoretical and practical results of information theoretic methods used in statistical learning. It presents a comprehensive
Language: en
Pages: 694
Pages: 694
Type: BOOK - Published: 2003-09-25 - Publisher: Cambridge University Press
Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, sign
Language: en
Pages: 324
Pages: 324
Type: BOOK - Published: 2013-06-29 - Publisher: Springer Science & Business Media
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
Language: en
Pages: 295
Pages: 295
Type: BOOK - Published: 2009-08-13 - Publisher: Cambridge University Press
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
Language: en
Pages: 119
Pages: 119
Type: BOOK - Published: 2012-01-13 - Publisher: MIT Press
The implications for philosophy and cognitive science of developments in statistical learning theory. In Reliable Reasoning, Gilbert Harman and Sanjeev Kulkarni