Artificial Intelligence, Machine Learning, Data Science.
covariance (correlation) between f (x) and f(x’). Paul designs m(x) to be 0 to reflect the expected balance. If we keep sampling functions, the average on f ¹(x), f ²(x), f ³(x), … approaches m(x). Paul uses a Gaussian kernel to model the covariance function. For any pair of x and x’, the sampled