A flexible procedure for mixture proportion estimation in positive‐unlabeled learning
نویسندگان
چکیده
منابع مشابه
A Rate of Convergence for Mixture Proportion Estimation, with Application to Learning from Noisy Labels
Mixture proportion estimation (MPE) is a fundamental tool for solving a number of weakly supervised learning problems – supervised learning problems where label information is noisy or missing. Previous work on MPE has established a universally consistent estimator. In this work we establish a rate of convergence for mixture proportion estimation under an appropriate distributional assumption, ...
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ژورنال
عنوان ژورنال: Statistical Analysis and Data Mining: The ASA Data Science Journal
سال: 2020
ISSN: 1932-1864,1932-1872
DOI: 10.1002/sam.11447