Minimum Error Entropy Classification by Joaquim P. Marques De SMinimum Error Entropy Classification by Joaquim P. Marques De S

Minimum Error Entropy Classification

byJoaquim P. Marques De S, Luís M.A. Silva, Jorge M.F. Santos

Paperback | August 9, 2014

Pricing and Purchase Info

$175.51 online 
$193.50 list price save 9%
Earn 878 plum® points

Prices and offers may vary in store


In stock online

Ships free on orders over $25

Not available in stores


This book explains the minimum error entropy (MEE) concept applied to data classification machines. Theoretical results on the inner workings of the MEE concept, in its application to solving a variety of classification problems, are presented in the wider realm of risk functionals.

Researchers and practitioners also find in the book a detailed presentation of practical data classifiers using MEE. These include multi-layer perceptrons, recurrent neural networks, complexvalued neural networks, modular neural networks, and decision trees. A clustering algorithm using a MEE-like concept is also presented. Examples, tests, evaluation experiments and comparison with similar machines using classic approaches, complement the descriptions.

Title:Minimum Error Entropy ClassificationFormat:PaperbackDimensions:262 pages, 23.5 × 15.5 × 0.02 inPublished:August 9, 2014Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3642437427

ISBN - 13:9783642437427

Look for similar items by category:


Table of Contents

Introduction.- Continuous Risk Functionals.- MEE with Continuous Errors.- MEE with Discrete Errors.- EE-Inspired Risks.- Applications.