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Gaussian processes for machine learning

Gaussian processes for machine learning

Carl Edward Rasmussen
2005
Páginas: 272
Género: Data processing

Descripción

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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