Title: Gaussian processes for machine learning
Description: 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/ )
Subjects: Data processing, Gaussian processes, Machine learning, Mathematical models, Informatique, Modèles mathématiques, Apprentissage automatique, Probability & Statistics, Maschinelles Lernen, Processus gaussiens, MATHEMATICS, Gauß-Prozess, Stochastic Processes