Information theory related learning

T. Villmann, A. Cichocki, J. Principe

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

This is the introduction paper to a special session held on ESANN conference 2011. It reviews and highlights recent developments and new direction in information related learning, which is a fastly developing research area. These algorithms are based on the fundamental principles of information theory and relate them implicitly or explicitly to learning algoithms and strategies.

Original languageEnglish
Title of host publicationESANN 2011 - 19th European Symposium on Artificial Neural Networks
PublisherESANN (i6doc.com)
Pages1-10
Number of pages10
ISBN (Electronic)9782874190445
ISBN (Print)9782874190445
Publication statusPublished - 2011
Externally publishedYes
Event19th European Symposium on Artificial Neural Networks, ESANN 2011 - Bruges, Belgium
Duration: 27 Apr 201129 Apr 2011

Publication series

NameESANN 2011 proceedings, 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

Conference

Conference19th European Symposium on Artificial Neural Networks, ESANN 2011
Country/TerritoryBelgium
CityBruges
Period27/04/1129/04/11

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