Lower-Bounded Proper Losses for Weakly Supervised Classification
Shuhei M. Yoshida 1 2 Takashi Takenouchi 2 3 Masashi Sugiyama 2 4
Abstract an instance with a label that may be corrupted. Positive-
unlabeled (PU) learning of binary classification uses positive
This paper discusses the problem of weakly su-
and unlabeled data, but not labeled negative data (Elkan &
pervised cl ...


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