Li, Xiaoou, Chen, Yunxiao, Chen, Xi, Liu, Jingchen, and Ying, Zhiliang. Optimal Stopping and Worker Selection in Crowdsourcing: an Adaptive Sequential Probability Ratio Test Framework. Retrieved from https://par.nsf.gov/biblio/10127093. Statistica Sinica . Web. doi:10.5705/ss.202018.0300.
Li, Xiaoou, Chen, Yunxiao, Chen, Xi, Liu, Jingchen, & Ying, Zhiliang. Optimal Stopping and Worker Selection in Crowdsourcing: an Adaptive Sequential Probability Ratio Test Framework. Statistica Sinica, (). Retrieved from https://par.nsf.gov/biblio/10127093. https://doi.org/10.5705/ss.202018.0300
Li, Xiaoou, Chen, Yunxiao, Chen, Xi, Liu, Jingchen, and Ying, Zhiliang.
"Optimal Stopping and Worker Selection in Crowdsourcing: an Adaptive Sequential Probability Ratio Test Framework". Statistica Sinica (). Country unknown/Code not available. https://doi.org/10.5705/ss.202018.0300.https://par.nsf.gov/biblio/10127093.
@article{osti_10127093,
place = {Country unknown/Code not available},
title = {Optimal Stopping and Worker Selection in Crowdsourcing: an Adaptive Sequential Probability Ratio Test Framework},
url = {https://par.nsf.gov/biblio/10127093},
DOI = {10.5705/ss.202018.0300},
abstractNote = {},
journal = {Statistica Sinica},
author = {Li, Xiaoou and Chen, Yunxiao and Chen, Xi and Liu, Jingchen and Ying, Zhiliang},
}
Warning: Leaving National Science Foundation Website
You are now leaving the National Science Foundation website to go to a non-government website.
Website:
NSF takes no responsibility for and exercises no control over the views expressed or the accuracy of
the information contained on this site. Also be aware that NSF's privacy policy does not apply to this site.