Instance-Dependent Positive and Unlabeled Learning with Labeling Bias Estimation

This paper studies instance-dependent Positive and Unlabeled (PU) classification, where whether a positive example will be labeled (indicated by s) is not only related to the class label y, but also depends on the observation x. Therefore, the labeling probability on positive examples is not uniform...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence. - 1979. - PP(2021) vom: 23. Feb.
1. Verfasser: Gong, Chen (VerfasserIn)
Weitere Verfasser: Wang, Qizhou, Liu, Tongliang, Han, Bo, You, Jane J, Yang, Jian, Tao, Dacheng
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2021
Zugriff auf das übergeordnete Werk:IEEE transactions on pattern analysis and machine intelligence
Schlagworte:Journal Article