Approximation Methods for Gaussian Process Regression

This chapter contains sections titled: Introduction, Gaussian Process Regression, Sparse Approximations Based on Inducing Variables, Fast Matrix Vector Multiplication Approximations, Selecting the Inducing Variables, Approximate Evidence and Hyperparameter Learning, Classification, Conclusions