Information Theoretic Learning; Renyi's Entropy and Kernel Perspectives (Information Science and Statistics)

Category: Technical


Posted on 2019-12-23, by phaelx.

Description



Date: 2010
Pages: 448
ASIN: 1441915699
ISBN10: 9781441915696
ISBN13: 978-1441915696
Author: Jose C. Principe

Size: 6.9 MB
Format: pdf
Download     >>    https://dropapk.to/t7u484j4ohvd
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.
Geographic Information Systems,GIS Programming,Remote Sensing & GIS

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