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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11 released booksAdaptive Computation and Machine Learning is a 11-book series first released in 1993 with contributions by Peter Spirtes, Clark Glymour, and Richard Scheines.
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