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