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Efficient Data-Dependent Learnability

Published in arXiv (Cornell University) • Nov 20, 2020
Authors:
Yaniv Fogel
,
Tal Shapira
,
Meir Feder

Abstract

The predictive normalized maximum likelihood (pNML) approach has recently been proposed as the min-max optimal solution to the batch learning problem where both the training set and the test data feature are individuals, known sequences. This approach has yields a learnability measure that can also ...

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