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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.
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 of theoretical and practical aspects of GP.
Gaussian Processes (GPs) provide a principled, practical, probabilistic approach to Learning in kernel machines.
A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to Learning in kernel machines
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