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

Gaussian Processes for Machine Learning

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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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Author(s): Rasmussen, Carl EdwardWilliams, Christopher K.

Publisher: MIT Press

Pub. Date: 2005

pages: 265

Language: lang_en

ISBN: 978-0-262-18253-9

eISBN: 978-0-262-25683-4

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

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

See all description...