An analysis of ensemble pruning techniques based on ordered aggregation

Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lis...

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Detalles Bibliográficos
Autores: Martínez Muñoz, Gonzalo, Hernández Lobato, Daniel, Suárez González, Alberto
Tipo de recurso: artículo
Fecha de publicación:2009
País:España
Institución:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/664049
Acceso en línea:http://hdl.handle.net/10486/664049
https://dx.doi.org/10.1109/TPAMI.2008.78
Access Level:acceso abierto
Palabra clave:Bagging
Decision trees
Ensemble Pruning
Ensemble Selection
Ensembles of classifiers
Ordered Aggregation
Informática
Descripción
Sumario:Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. G. Martínez-Muñoz, D. Hernández-Lobato and A. Suárez, "An analysis of ensemble pruning techniques based on ordered aggregation", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 2, pp. 245-249, February 2009