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Information Theoretic Learning eBook

Renyi''S Entropy And Kernel Perspectives

by Jose C. Principe
language: english
Publisher: SPRINGER NEW YORK, April of 2010 ‧
237,84€
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Ebook for ADE
Information Theoretic Learning (ITL) is a framework where the conventional concepts of second order statistics (covariance, L2 distances, correlation functions) are substituted by scalars and functions with information theoretic underpinnings. This book deals with the ITL algorithms to adapt linear or nonlinear learning machines.

Information Theoretic Learning

Renyi''S Entropy And Kernel Perspectives

by Jose C. Principe

Property Description
ISBN: 9781441915702
Publisher: SPRINGER NEW YORK
Release Date: April of 2010
Language: English
Format: eBook
File Format and Compatibility: PDF para ADE
Collection: Information Science And Statistics
Categories: eBooks in English > Computing > Other Applications
EAN: 9781441915702

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