Introduction
Regression
Multivariate Gaussian distributions
Schur complement
Conditional distributions
Ridge Regression
Gaussian Processes
Mean function
Covariance function
Relation to kernels
Slides in PDF
Rasmussen and Williams: Gaussian Processes for Machine Learning Html and PDF