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An exploration of research directions in machine ensemble theory and applications

A. R. Figueiras-Vidal, L. Rokach

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

Abstract

A concise overview of the fundamentals and the main types of machine ensembles serves to propose a structured perspective for the papers that are included in this special session. The subsequent brief discussion of the works, emphasizing their principal contributions, permits an extraction of a series of suggestions for further research in the fruitful area of ensemble learning.

Original languageAmerican English
Title of host publicationESANN 2012 proceedings, 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Pages227-232
Number of pages6
StatePublished - 1 Jan 2012
Event20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2012 - Bruges, Belgium
Duration: 25 Apr 201227 Apr 2012

Publication series

NameESANN 2012 proceedings, 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

Conference

Conference20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2012
Country/TerritoryBelgium
CityBruges
Period25/04/1227/04/12

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Artificial Intelligence

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