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)

by JoseC.Principe (Author)

Synopsis

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.

$225.74

Quantity

20+ in stock

More Information

Format: Hardcover
Pages: 448
Edition: 1st Edition.
Publisher: Springer
Published: 15 Apr 2010

ISBN 10: 1441915699
ISBN 13: 9781441915696