Regression using RBF kernel

The mean function is used when you have some prediction of the overall trend of the data. I usually think of it this way: without mean function, the data goes back to zero slowly in the area there is no observation. And with a mean function (say a constant of K) the data goes to K slowly in the area where there is no observation.

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