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Convex Formulation for Learning from Positive and Unlabeled Data
Marthinus Christoffel du Plessis
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Oznake: computer science;machine learning
We discuss binary classification from only from positive and unlabeled data (PU classification), which is conceivable in various real-world machine learning problems. Since unlabeled data consists of both positive and negative data, simply separating positive and unlabeled data yields a biased solut ...
Leto: 2015 Vir: videolectures.net
Št. zadetkov: 1
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