Candidate Labeling for Crowd Learning

26 Apr 2018Iker Beñaran-MuñozJerónimo Hernández-GonzálezAritz Pérez

Crowdsourcing has become very popular among the machine learning community as a way to obtain labels that allow a ground truth to be estimated for a given dataset. In most of the approaches that use crowdsourced labels, annotators are asked to provide, for each presented instance, a single class label... (read more)

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