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Toward a General-Purpose Heterogeneous Ensemble for Pattern Classification

We perform an extensive study of the performance of different classification approaches on twenty-five datasets (fourteen image datasets and eleven UCI data mining datasets). The aim is to find General-Purpose (GP) heterogeneous ensembles (requiring little to no parameter tuning) that perform compet...

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Detalles Bibliográficos
Autores principales:	Nanni, Loris, Brahnam, Sheryl, Ghidoni, Stefano, Lumini, Alessandra
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi Publishing Corporation 2015
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4564633/ https://www.ncbi.nlm.nih.gov/pubmed/26413089 http://dx.doi.org/10.1155/2015/909123

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