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Measure Theoretic Approach to Nonuniform Learnability
[article]
2020
arXiv
pre-print
An earlier introduced characterization of nonuniform learnability that allows the sample size to depend on the hypothesis to which the learner is compared has been redefined using the measure theoretic approach. Where nonuniform learnability is a strict relaxation of the Probably Approximately Correct framework. Introduction of a new algorithm, Generalize Measure Learnability framework, to implement this approach with the study of its sample and computational complexity bounds. Like the Minimum
arXiv:2011.00392v1
fatcat:spqxwqrcmfeubotldynn4af6li