Rademacher complexity

E1997106 UNEXPLORED

Rademacher complexity is a measure of the richness of a hypothesis class in statistical learning theory, quantifying its capacity to fit random noise and thereby controlling generalization error.

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Computational Learning Theory hasKeyConcept Rademacher complexity