Exploiting decomposition methods, kernel algorithms and over-sampling techniques for ordinal regression

Áreas de investigación:

• Methodology - Machine learning

Año:

2015

Tipo de publicación:

Tesis de doctorado

Palabras clave:

ordinal classification, ordinal regression, support vector machine

Autores:

• Pérez-Ortiz, María

Dirección:

C. Hervás-Martínez, P. A. Gutiérrez

BibTex:

@phdthesis{PerezOrtiz2015PhD, author = "Mar{\'i}a P{\'e}rez-Ortiz", address = "C. Herv{\'a}s-Mart{\'i}nez, P. A. Guti{\'e}rrez", institution = "Universidad de C{\'o}rdoba", keywords = "ordinal classification, ordinal regression, support vector machine", month = "Febreaury", title = "{E}xploiting decomposition methods, kernel algorithms and over-sampling techniques for ordinal regression", year = "2015", }