Yongsheng Ding

A weighted heteroscedastic Gaussian process modeling via particle swarm optimization

2016

Gaussian process regression (GPR) algorithm has good adaptability to deal with high dimensional, small sample, and nonlinear problems. The standard GPR algorithm assumes constant noise power throughout the sampling process. However, different sample points are …