GP regression with a squared exponential kernel yields high-order approximations for standard linear operators, and a new DAS kernel interpolates discontinuous data without visible oscillations.
Fast gaussian process regression for big data
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GP-Recipe: Gaussian Process approximation to linear operations in numerical methods
GP regression with a squared exponential kernel yields high-order approximations for standard linear operators, and a new DAS kernel interpolates discontinuous data without visible oscillations.