Search results with tag "Gaussian process"
Deep Gaussian Processes
proceedings.mlr.pressled to other families of methods, in particular kernel meth-ods such as the support vector machine (SVM), to be con-sidered for the domain of data classification. Almost con-temporaneously to the SVM, Gaussian process (GP) mod-els [Rasmussen and Williams, 2006] were introduced as a fully probabilistic substitute for the multilayer perceptron
Gaussian Processes in Machine Learning
www.cs.ubc.caA Gaussian Process is a collection of random variables, any finite number of which have (consistent) joint Gaussian distributions. A Gaussian process is fully specified by its mean function m(x) and covariance function k(x,x0). This is a …
Gaussian processes - Stanford University
cs229.stanford.eduas Gaussian process regression. The material covered in these notes draws heavily on many different topics that we discussed previously in class (namely, the probabilistic interpretation oflinear regression1, Bayesian methods2, kernels3, andproperties ofmultivariate Gaussians4). The organization of these notes is as follows.