[PDF.99cv] Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives (Information Science and Statistics)

Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives (Information Science and Statistics)

[PDF.np51] Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives (Information Science and Statistics)

Information Theoretic Learning: Renyi's  Jose C. Principe epub
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 | #7009540 in Books |  2012-05-27 |  2012-05-27 | Original language:English | PDF # 1 |  9.25 x1.25 x6.10l,1.68 | File type: PDF | 448 pages

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||1 of 5 people found the following review helpful.| Descriptive matter|By Information TL|This product, Information Theoretic Learning, brings a set of useful representations of combined learning-algorithms with optimal property and practical information theory with signal processing approach.|3 of 3 people found the following review helpful.| Brilliant idea but not well-presented|By Pre

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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