Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood
Weisong Yang,
Rafael Poyiadzi,
Niall Twomey
et al.
Abstract:In supervised learning, automatically assessing the quality of the labels before any learning takes place remains an open research question. In certain particular cases, hypothesis testing procedures have been proposed to assess whether a given instance-label dataset is contaminated with class-conditional label noise, as opposed to uniform label noise. The existing theory builds on the asymptotic properties of the Maximum Likelihood Estimate for parametric logistic regression. However, the parametric assumptio… Show more
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