Gaussian Processes for Machine Learning
(Part of the Adaptive Computation and Machine Learning Series)
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A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines. Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment...
Format:Hardcover
Language:English
ISBN:026218253x
ISBN13:9780262182539
Release Date:November 2005
Publisher:MIT Press
Length:272 Pages
Weight:1.65 lbs.
Dimensions:0.7" x 8.3" x 10.2"
Age Range:18 years and up
Grade Range:Postsecondary and higher
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