Gaussian Processes for Machine Learning
Carl Edward Rasmussen and Christopher K. I. Williams
The MIT Press, 2006. ISBN 0-262-18253-X.
Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines.
The book deals with the supervised-learning problem for both regression and classification, and includes detailed algorithms.
