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Online Performance Estimation with Unlabeled Data: A Bayesian Application of the Hui-Walter Paradigm
Autor:
Slote, Kevin, Lee, Elaine
In the industrial practice of machine learning and statistical modeling, practitioners often work under the assumption of accessible, static, labeled data for evaluation and training. However, this assumption often deviates from reality, where data m
Externí odkaz:
http://arxiv.org/abs/2401.09376
