Out-of-bag estimation of the optimal sample size in bagging

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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Detalles Bibliográficos
Autores: Martínez Muñoz, Gonzalo, Suárez González, Alberto
Tipo de recurso: artículo
Fecha de publicación:2010
País:España
Institución:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/664127
Acceso en línea:http://hdl.handle.net/10486/664127
https://dx.doi.org/10.1016/j.patcog.2009.05.010
Access Level:acceso abierto
Palabra clave:Bagging
Bootstrap sampling
Decision trees
Ensembles of classifiers
Optimal sampling ratio
Subagging
Subsampling
Informática
Descripción
Sumario: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 43.1 (2010): 143 – 152 , DOI: 10.1016/j.patcog.2009.05.010