no code implementations • 26 Apr 2018 • Iker Beñaran-Muñoz, Jerónimo Hernández-González, Aritz Pérez
In this paper, the use of candidate labeling for crowd learning is proposed, where the annotators may provide more than a single label per instance to try not to miss the real label.
