Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives by José C. Principe

Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives

José C. Principe

448 pages first pub 2010 (editions)

challenging informative reflective medium-paced
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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 appl...

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