law of large uniform numbers

微分積分:Calculus

Protected: Complexity of Hypothesis Sets in Statistical Mathematics Theory

Complexity of sets of hypotheses in statistical mathematical theory used in digital transformation, artificial intelligence, and machine learning tasks Rademacher complexity, VC dimension, large number factor, law of large uniform numbers, decision stocks, set of linear discriminators, set of linear functions, Cauchy-Schwartz inequality, Jensen inequality, Masar's complement, Talagrande's complement, empirical Rademacher complexity, Sauer's complement, Radon's theorem
アルゴリズム:Algorithms

Statistical Learning Theory

Theory on statistical properties of machine learning algorithms utilized in digital transformation, artificial intelligence, and machine learning tasks (law of large uniform numbers, universal kernel, discriminant fitting loss)
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