When Gaussian Process Meets Big Data: A Review of Scalable GPs - Liu, Haitao; Ong, Yew-Soon; Shen, Xiaobo; Cai, Jianfei (IEEE transaction on neural networks and learning systems, 2020)
Keywords: Bayesian analysis; Big Data; Complexity theory; Computational modeling; Gaussian process; Gaussian process regression (GPR); Ground penetrating radar; Inference; Kernel; Learning algorithms; local approximations; Machine learning; Predictive models; Regression analysis; Reviews; Scalability; sparse approximations; Sparse representation; State-of-the-art reviews