Support vector machines over a discrete structure: A kernel for qualitative orders of magnitude spaces

Núria Agell Jané, Francesc Prats Duaygues, Rosario Rovira Llobera, Mònica Sánchez Soler

Producción científica: Capítulo del libroCapítulo

Resumen

This paper is within the domain of the study of learning algorithms based on kernels, precisely of the Support Vector Machines. a kernel is constructed over the discrete structure of absolute orders of magnitude spaces. This kernel is based on an explicit function, defined from the space of k-tuples of qualitative labels to a feature space, which captures the remoteness between the components of the patterns by using certain weights exponentially. a simple example that allows interpreting the kernel in terms of proximity of the patterns is presented.
Idioma originalInglés
Título de la publicación alojadaArtificial intelligence research and development
Páginas267-275
EstadoPublicada - 1 ene 2003

Huella

Profundice en los temas de investigación de 'Support vector machines over a discrete structure: A kernel for qualitative orders of magnitude spaces'. En conjunto forman una huella única.

Citar esto