Practical Bayesian Optimization of Machine Learning …
distribution allow us to compute marginals and conditionals in closed form. The support and prop-erties of the resulting distribution on functions are determined by a mean function m: X!R and a positive definite covariance function K: XX! R. We will discuss the impact of covariance functions in Section 3.1.
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