BriefGPT.xyz
Jun, 2012
TrueLabel + Confusions：用于分析多个评分的概率模型谱系
TrueLabel + Confusions: A Spectrum of Probabilistic Models in Analyzing Multiple Ratings
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Chao Liu, Yi-Min Wang
TL;DR
本文重新讨论了不同裁判所给出的多个等级分析的问题，提出了一种基于Hierarchical Bayesian模型的混淆矩阵(DawidSkene)的泛化方法，旨在从专家评估中获取诊断信息，并在合成和实际数据集上验证其性能编译
Abstract
This paper revisits the problem of analyzing multiple
ratings
given by different
judges
. Different from previous work that focuses on distilling the true labels from noisy crowdsourcing
→