Gaussian processes for machine learning

A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines.

Detalles Bibliográficos
Autor principal: Rasmussen, Carl Edward (-)
Otros Autores: Williams, Christopher K. I.
Formato: Libro electrónico
Idioma:Inglés
Publicado: Cambridge, Mass. : MIT Press c2006.
Edición:1st ed
Colección:Adaptive computation and machine learning.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009746186906719
Descripción
Sumario:A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines.
Notas:Title from title screen.
Descripción Física:xviii, 248 p. : ill
Available also in a print ed
Bibliografía:Includes bibliographical references (p. [223]-238) and indexes.
ISBN:9780262261074
9786612097966
9781423769903