A survey on multi-output regression
Data(s) |
2015
|
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Resumo |
In recent years, a plethora of approaches have been proposed to deal with the increasingly challenging task of multi-output regression. This paper provides a survey on state-of-the-art multi-output regression methods, that are categorized as problem transformation and algorithm adaptation methods. In addition, we present the mostly used performance evaluation measures, publicly available data sets for multi-output regression real-world problems, as well as open-source software frameworks. |
Formato |
application/pdf |
Identificador | |
Idioma(s) |
eng |
Publicador |
E.T.S. de Ingenieros Informáticos (UPM) |
Relação |
http://oa.upm.es/40804/1/INVE_MEM_2015_204213.pdf http://wires.wiley.com/WileyCDA/WiresArticle/wisId-WIDM1157.html C080020-09 TIN2013-41592-P e S2013/ICE-2845-CASI-CAM-CM info:eu-repo/semantics/altIdentifier/doi/10.1002/widm.1157 |
Direitos |
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess |
Fonte |
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, ISSN 1942-4787, 2015, Vol. 5, No. 5 |
Palavras-Chave | #Matemáticas |
Tipo |
info:eu-repo/semantics/article Artículo PeerReviewed |