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Ordinal regression with K-SVCR machines

Abstract:

The ordinal regression problem or ordination have mixed features of both, the classification and the regression problem, so it can be seen as an independent problem class. The particular behaviour of this sort of problem should be explicitly considered by the learning machines working on it. In this paper the ordination problem is fomulated from the viewpoint of a recently defined learning architecture based on support vectors, the K-SVCR learning machine, specially developed to treat with multiple classes. In this study its definition is compared to other existing results in the literature. © Springer-Verlag Berlin Heidelberg 2001.

Año de publicación:

2001

Keywords:

    Fuente:

    scopusscopus

    Tipo de documento:

    Conference Object

    Estado:

    Acceso restringido

    Áreas de conocimiento:

    • Aprendizaje automático
    • Optimización matemática

    Áreas temáticas:

    • Ciencias de la computación

    Contribuidores:

    Mallofre A.C.Mallofre A.C.
    Cecilio Angulo BahónCecilio Angulo Bahón