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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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Uniform convergence for signed networks under directed switching topologies
at - Automatisierungstechnik, 2018Deyuan Meng, Ziyang Meng, Yiguang Hong
semanticscholar +1 more source
Solving a set of global optimization problems by the parallel technique with uniform convergence
Journal of Global Optimization, 2017K. Barkalov, R. Strongin
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Statistically Relatively Uniform Convergence of Positive Linear Operators
Results in Mathematics, 2015Kamil Demirci, Sevda Orhan
exaly
About the statistical uniform convergence
Bulletin of the Brazilian Mathematical Society, 2008Antonio Aizpuru
exaly