Gaussian Processes for Machine Learning
Carl Edward Rasmussen, Christopher K. I. Williams
Abstract
A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines.
Topics & Concepts
Machine learningArtificial intelligenceComputer scienceOnline machine learningGaussian processProbabilistic logicRelevance vector machineSupport vector machineKernel methodArtificial neural networkGaussianQuantum mechanicsPhysicsGaussian Processes and Bayesian InferenceNeural Networks and ApplicationsScientific Research and Discoveries