How large should ensembles of classifiers be?

This is the author’s version of a work that was accepted for publication in Pattern Recognition. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may ha...

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Detalhes bibliográficos
Autores: Hernández Lobato, Daniel, Martínez Muñoz, Gonzalo, Suárez González, Alberto
Tipo de documento: artigo
Data de publicação:2013
País:España
Recursos:Universidad Autónoma de Madrid
Repositório:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglês
OAI Identifier:oai:repositorio.uam.es:10486/664125
Acesso em linha:http://hdl.handle.net/10486/664125
https://dx.doi.org/10.1016/j.patcog.2012.10.021
Access Level:Acceso aberto
Palavra-chave:Asymptotic ensemble prediction
Bagging
Ensemble learning
Ensemble size
Random forest
Informática
Descrição
Resumo:This is the author’s version of a work that was accepted for publication in Pattern Recognition. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Pattern Recognition 46.5 (2013): 1323 – 1336, DOI: 10.1016/j.patcog.2012.10.021