Kernel Learning by Spectral Representation and Gaussian Mixtures

Article

Abstract: One of the main tasks in kernel methods is the selection of adequate mappings into higher dimension

Palabras claves:

approximating kernel, kernel spectral representation, locally stationary kernel, non-parametric kernel learning

Autores:

Andrés Mendez-Vazquez, Garcia A., Guardado-Medina R.O., Pena-Llamas L.R.

Fuentes:

scopus