Information Theoretic Learning

Information Theoretic Learning
Author :
Publisher : Springer Science & Business Media
Total Pages : 538
Release :
ISBN-10 : 9781441915702
ISBN-13 : 1441915702
Rating : 4/5 (02 Downloads)

Book Synopsis Information Theoretic Learning by : Jose C. Principe

Download or read book Information Theoretic Learning written by Jose C. Principe and published by Springer Science & Business Media. This book was released on 2010-04-06 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Information Theoretic Learning Related Books

Information Theoretic Learning
Language: en
Pages: 538
Authors: Jose C. Principe
Categories: Computers
Type: BOOK - Published: 2010-04-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book is the first cohesive treatment of ITL algorithms to adapt linear or nonlinear learning machines both in supervised and unsupervised paradigms. It com
Information-Theoretic Methods in Data Science
Language: en
Pages: 561
Authors: Miguel R. D. Rodrigues
Categories: Computers
Type: BOOK - Published: 2021-04-08 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

The first unified treatment of the interface between information theory and emerging topics in data science, written in a clear, tutorial style. Covering topics
Information Theory and Statistical Learning
Language: en
Pages: 443
Authors: Frank Emmert-Streib
Categories: Computers
Type: BOOK - Published: 2009 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This interdisciplinary text offers theoretical and practical results of information theoretic methods used in statistical learning. It presents a comprehensive
An Information-Theoretic Approach to Neural Computing
Language: en
Pages: 265
Authors: Gustavo Deco
Categories: Computers
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

A detailed formulation of neural networks from the information-theoretic viewpoint. The authors show how this perspective provides new insights into the design
Robust Recognition via Information Theoretic Learning
Language: en
Pages: 120
Authors: Ran He
Categories: Computers
Type: BOOK - Published: 2014-08-28 - Publisher: Springer

DOWNLOAD EBOOK

This Springer Brief represents a comprehensive review of information theoretic methods for robust recognition. A variety of information theoretic methods have b