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"Analysis of Minimax Error Rate for Crowdsourcing and Its Application to ..."

Hideaki Imamura, Issei Sato, Masashi Sugiyama (2018)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2019-04-03

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  - electronic edition @ mlr.press (open access)
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  dblp key:
  - conf/icml/ImamuraSS18
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  persistent URL:
  - https://dblp.org/rec/conf/icml/ImamuraSS18
Hideaki Imamura, Issei Sato, Masashi Sugiyama:
Analysis of Minimax Error Rate for Crowdsourcing and Its Application to Worker Clustering Model. ICML 2018: 2152-2161

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