Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives - Information Science and Statistics - Jose C. Principe - Books - Springer-Verlag New York Inc. - 9781461425854 - May 27, 2012
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Jose C. Principe
Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives - Information Science and Statistics 2010 edition

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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.

448 pages, biography

Media Books     Paperback Book   (Book with soft cover and glued back)
Released May 27, 2012
ISBN13 9781461425854
Publishers Springer-Verlag New York Inc.
Pages 448
Dimensions 158 × 234 × 29 mm   ·   762 g
Language English  

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