Information Theoretic Learning

Renyi's Entropy and Kernel Perspectives

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Computer Science, General Computing
Cover of the book Information Theoretic Learning by Jose C. Principe, Springer New York
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Author: Jose C. Principe ISBN: 9781441915702
Publisher: Springer New York Publication: April 6, 2010
Imprint: Springer Language: English
Author: Jose C. Principe
ISBN: 9781441915702
Publisher: Springer New York
Publication: April 6, 2010
Imprint: Springer
Language: English
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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