Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives

by José C. Principe

Book Overview

Information Theory, Machine Learning, and Reproducing Kernel Hilbert Spaces.- Renyi's Entropy, Divergence and Their Nonparametric Estimators.- Adaptive Information Filtering with Error Entropy and Error Correntropy Criteria.- Algorithms for Entropy and Correntropy Adaptation with Applications to Linear Systems.- Nonlinear Adaptive Filtering with MEE, MCC, and Applications.- Classification with EEC, Divergence Measures, and Error Bounds.- Clustering...

• Format: Hardcover
• Language: English
• ISBN: 1441915699
• ISBN13: 9781441915696
• Release Date: April 2010
• Publisher: Springer
• Length: 448 Pages
• Weight: 2.08 lbs.
• Dimensions: 1.2" x 6.1" x 9.2"