GP

E974247 UNEXPLORED

A Gaussian process (GP) is a probabilistic model that defines a distribution over functions, widely used in machine learning and statistics for regression, classification, and Bayesian optimization.

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GP canonical 1

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Full triples — surface form annotated when it differs from this entity's canonical label.