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
Effectively Identifying Compound-Protein Interactions by Learning from Positive and Unlabeled Examples.
Sign Up to like & getrecommendations! Published in 2018 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2016.2570211
Abstract: Prediction of compound-protein interactions (CPIs) is to find new compound-protein pairs where a protein is targeted by at least a compound, which is a crucial step in new drug design. Currently, a number of machine… read more here.
Keywords: protein; compound protein; cpis; unlabeled examples ... See more keywords