Information Theoretic Learning

Information Theoretic Learning

Renyi's Entropy and Kernel Perspectives

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This book presents the first cohesive treatment of Information Theoretic Learning (ITL) algorithms to adapt linear or nonlinear learning machines both in supervised or unsupervised paradigms.

ITL is a framework where the conventional concepts of second or.

First published
2012
Publishers
Springer New York
Language
English

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