Label noise correction and application in crowdsourcing-Reference-Cited by-同舟云学术

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Label noise correction and application in crowdsourcing

Published:2016-12 Issue: Volume:66 Page:149-162
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Nicholson Bryce,Sheng Victor S.,Zhang Jing^ORCID

Funder

U.S. National Science Foundation

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province, China

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference32 articles.

1. On-line learning with malicious noise and the closure algorithm;Auer;Annals of Mathematics and Artificial Intelligence,1998

2. Crowdsourcing as a model for problem solving an introduction and cases;Brabham;Convergence: The International Journal of Research into New Media Technologies 14.1,2008

3. Maximum likelihood estimation of observer error-rates using the em algorithm;Dawid;Applied Statistics,1979

4. On the edited nearest neighbor rule;Devijver,1980

5. An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization;Dietterich;Machine Learning,2000

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