A survey on multi-output regression


Autoria(s): Borchani, Hanen; Varando, Gherardo; Bielza Lozoya, María Concepción; Larrañaga Múgica, Pedro María
Data(s)

2015

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

http://oa.upm.es/40804/

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