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Gaussian processes for machine learning

Carl Edward Rasmussen

2005272 pagesabout 4–6 hours
2005
first published
  • 2005MIT Press · 272 pages · ENGISBN 9780262261074
  • 2005MIT Press · 272 pages · ENGISBN 9780262253321
  • 2006MIT Press · ENGISBN 9781423769903
  • 2006MIT Press · 272 pages · ENGISBN 9780262182539
  • 2018MIT Press · 272 pages · ENGISBN 9780262256834

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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