International Conference on Machine Learning, ICML 2016


Article Details
Title: False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking
Article URLs:
Alternative Article URLs:
Authors: Qianqian Xu
  • Chinese Academy of Sciences, Beijing 100093 & BICMR, Peking University, Beijing 100871, China, State Key Laboratory of Information Security (SKLOIS)
  • Chinese Academy of Sciences, Beijing 100093 & BICMR, Peking University, Beijing 100871, China, Institute of Information Engineering
Jiechao Xiong
  • Peking University, Beijing 100871, China, BICMR-LMAM-LMEQF-LMP
  • Peking University, Beijing 100871, China, School of Mathematical Sciences
Xiaochun Cao
  • Chinese Academy of Sciences, Beijing 100093, China, State Key Laboratory of Information Security (SKLOIS)
  • Chinese Academy of Sciences, Beijing 100093, China, Institute of Information Engineering
Yuan Yao
  • Peking University, Beijing 100871, China, BICMR-LMAM-LMEQF-LMP
  • Peking University, Beijing 100871, China, School of Mathematical Sciences
Sharing: Unknown
Verification: Authors have not verified information
Artifact Evaluation Badge: none
Artifact URLs:
Artifact Correspondence Email Addresses:
NSF Award Numbers:
DBLP Key: conf/icml/XuXCY16
Author Comments:

Discuss this paper and its artifacts below