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Gaussian processes for machine learningCarl Edward Rasmussen

Gaussian processes for machine learning

2005272 pages
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5 editions

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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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Editions

5 editions
  • Other · English · 2018
    MIT Press · 272 pages · 9780262256834
  • Other · English · 2006
    MIT Press · 9781423769903
  • Other · English · 2005
    MIT Press · 272 pages · 9780262261074
  • Other · English · 2005
    MIT Press · 248 pages · 9780262182539
  • Other · English · 2005
    MIT Press · 272 pages · 9780262253321
Data processingGaussian processesMachine learningMathematical modelsInformatiqueModèles mathématiquesApprentissage automatiqueProbability & Statistics