A weakly supervised classifier for potential customers is trained by combining two positive-unlabeled losses into a single unbiased risk estimator.
Learning from positive and unlabeled data under the selected at random assumption
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Learning from Double Positive and Unlabeled Data for Potential-Customer Identification
A weakly supervised classifier for potential customers is trained by combining two positive-unlabeled losses into a single unbiased risk estimator.