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
Autores principales: Rasmussen, Carl Edward, Williams, Christopher K I
Lenguaje:eng
Publicado: The MIT Press 2006
Materias:
Computing and Computers
Acceso en línea:http://cds.cern.ch/record/2307304
Descripción
Sumario:A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines.

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