most citedA method on selecting reliable samples based on fuzziness in positive and unlabeled learning

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.LG2019★ 2 cited

A method on selecting reliable samples based on fuzziness in positive and unlabeled learning

TingTing Li, WeiYa Fan, YunSong Luo

Traditional semi-supervised learning uses only labeled instances to train a classifier and then this classifier is utilized to classify unlabeled instances, while sometimes there a…