Marthinus Du Plessis

Convex Formulation for Learning from Positive and Unlabeled Data

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…