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Gaussian processes for machine learning

Carl Edward Rasmussen · 2005

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About the book

Gaussian processes (GPs) provide an approach to kernel-machine learning. This book provides a treatment of theoretical and practical aspects of GPs in machine learning. The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics. (From the book's web site, http://www.gaussianprocess.org/gpml/ )

Book details

Year
2005
Language
English
Publisher
MIT Press
Editions
4
Pages
272
ISBN
9780262261074

Data source: Wikidata

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