Fig. 5

Gaussian process regression (red dashed line depicts the predictive mean and orange fill depicts the standard deviation intervals) with noisy measurements (blue dots) of the sine function (solid green line) using RBF kernel. The predictive variance increases in the areas of missing measurements, and the predictive mean fails to capture the true function trend outside of the interpolation region