Learning from Proportions of Positive and Unlabeled Examples
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DOI: 10.1002/int.21832
Abstract: Weakly supervised classification tries to learn from data sets which are not certainly labeled. Many problems, with different natures of partial labeling, fit this description. In this paper, the novel problem of learning from positive‐unlabeled… read more here.
Keywords: methodology; class; unlabeled examples; positive unlabeled ... See more keywords