Information Theoretic Learning Renyi's Entropy and Kernel Perspectives

Information Theoretic Learning Renyi's Entropy and Kernel Perspectives / by Jose C. Principe.

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 order statistics (covariance, L2 distances, cor...

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Bibliographic Details
Main Author: Principe, Jose C. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2010.
Edition:1st ed. 2010.
Series:Information Science and Statistics,
Springer eBook Collection.
Subjects:
Computers.
Artificial intelligence.
Signal processing.
Image processing.
Speech processing systems.
Computational intelligence.
Statistics .
Remote sensing.
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