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Named after Hans Rademacher.
Etymology from Wiktionary, CC BY-SA 4.0.
Today it means: In computational learning theory, a measure of the richness of a class of real-valued functions with respect to a probability distribution. Full definition →
Named after Hans Rademacher.
Etymology from Wiktionary, CC BY-SA 4.0.