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Information Theoretic Learning Renyi's Entropy and Kernel Perspectives /

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, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2010.
Edition:1st ed. 2010.
Series:Information Science and Statistics,
Subjects:
Computers.
Artificial intelligence.
Signal processing.
Image processing.
Speech processing systems.
Computational intelligence.
Statistics .
Remote sensing.
Theory of Computation.
Artificial Intelligence.
Signal, Image and Speech Processing.
Computational Intelligence.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Remote Sensing/Photogrammetry.
Online Access:https://doi.org/10.1007/978-1-4419-1570-2
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https://doi.org/10.1007/978-1-4419-1570-2

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