关于滤除低质量的工人的相关文章：
JMLR-12 Raykar Eliminating Spammers and ranking annotations for crowdsourced labeling tasks
NIPS-14 Reputaiton-based Worker Filtering in Crowdsourcing
众包中推导出 PAC 样本复杂度上界的文章：
IJCAI-16 Cost-saving effect of crowdsourcing learning
IJCAI-18
COLT-17
Arxiv-19
原文：https://www.cnblogs.com/Gelthin2017/p/10473960.html