Welcome to the web site for theory and applications of Gaussian Processes

Gaussian Process is powerful non-parametric machine learning technique for constructing comprehensive probabilistic models of real world problems. They can be applied to geostatistics, supervised, unsupervised, reinforcement learning, principal component analysis, system identification and control, rendering music performance, optimization and many other tasks.