Gaussian Processes for Machine Learning

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Gaussian Processes for Machine Learning

Carl Edward Rasmussen, Christopher K. I. Williams, Francis Bach

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Gaussian Processes for Machine LearningCarl Edward Rasmussen, Christopher K. I. Williams, Francis Bach

Carl Edward Rasmussen, Christopher K. I. Williams, Francis BachPublished 2005

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/ )

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Publisher	MIT Press
Pages	272
Search language	english
ISBN_13	978-0-262-25332-1 primary

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