Use of Gaussian Process Regression in Processing Scientific Data
Jiri Hajek · 2008
Abstract. We present the method of Gaussian Process Regression (GPR) and discuss the issues of training and prediction and their efficient realization. Further, we consider the application of GPR in design optimization and modeling experimental data.