Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives - Information Science and Statistics - Jose C. Principe - Books - Springer-Verlag New York Inc. - 9781441915696 - April 15, 2010
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Jose C. Principe
Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives - Information Science and Statistics

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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     Hardcover Book   (Book with hard spine and cover)
Released April 15, 2010
ISBN13 9781441915696
Publishers Springer-Verlag New York Inc.
Pages 448
Dimensions 237 × 164 × 33 mm   ·   943 g

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