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Learnability beyond Uniform Convergence
2012The problem of characterizing learnability is the most basic question of statistical learning theory. A fundamental result is that learnability is equivalent to uniform convergence of the empirical risk to the population risk, and that if a problem is learnable, it is learnable via empirical risk minimization. The equivalence of uniform convergence and
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Statistically Relatively Uniform Convergence of Positive Linear Operators
Results in Mathematics, 2015Kamil Demirci +2 more
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Arzelà's Theorem and strong uniform convergence on bornologies
Journal of Mathematical Analysis and Applications, 2010Giuseppe Di Maio
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