Using boosting to prune bagging ensembles

This is the author’s version of a work that was accepted for publication in Pattern Recognition Letters. 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. Change...

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Detalhes bibliográficos
Autores: Martínez Muñoz, Gonzalo, Suárez González, Alberto
Formato: artículo
Fecha de publicación:2007
País:España
Recursos:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/664134
Acesso em linha:http://hdl.handle.net/10486/664134
https://dx.doi.org/10.1016/j.patrec.2006.06.018
Access Level:acceso abierto
Palavra-chave:Bagging
Boosting
Decision trees
Ensemble pruning
Ensembles
Machine learning
Informática
Descrição
Resumo:This is the author’s version of a work that was accepted for publication in Pattern Recognition Letters. 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 Letters 28.1 (2007): 156 – 165, DOI: 10.1016/j.patrec.2006.06.018