Truth inference for crowdsourcing via bias-variance fusion graph embedding
This article introduces two metrics—bias and variance—to quantify, respectively, the discrepancy between a worker’s labels and those of other workers on similar instances (bias), and the inconsistency in a worker’s own labels across different instances (variance).
Wei Zong, Hui-Ze Feng, Zong-Yao Nie
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