Analysis of Minimax Error Rate for Crowdsourcing and Its Application to Worker Clustering Model
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Hideaki Imamura, Issei Sato, Masashi Sugiyama
Analysis of Minimax Error Rate for Crowdsourcing and Its Application to Worker Clustering Model
ICML, 2018.

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@inproceedings{ICML-2018-ImamuraSS,
	author        = "Hideaki Imamura and Issei Sato and Masashi Sugiyama",
	booktitle     = "{Proceedings of the 35th International Conference on Machine Learning}",
	ee            = "http://proceedings.mlr.press/v80/imamura18a.html",
	pages         = "2152--2161",
	publisher     = "{PMLR}",
	title         = "{Analysis of Minimax Error Rate for Crowdsourcing and Its Application to Worker Clustering Model}",
	year          = 2018,
}

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