Welcome to the Gaussian Process pages
This web site aims to provide an overview of resources concerned with probabilistic modeling, inference and learning based on Gaussian processes. View My GitHub Profile Welcome to the Gaussian Process pages The ancient Gaussian Process page. Books Carl Edward Rasmussen and Chris Williams: Gaussian Processes for Machine Learning, the MIT Press, 2006, online Juš Kocijan: Modelling and Control of Dyn
Gaussian Processes for Machine Learning: Book webpage
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. 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
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