PSPU: Enhanced Positive and Unlabeled Learning by Leveraging Pseudo
Supervision
PSPU: Enhanced Positive and Unlabeled Learning by Leveraging Pseudo
Supervision
Positive and Unlabeled (PU) learning, a binary classification model trained with only positive and unlabeled data, generally suffers from overfitted risk estimation due to inconsistent data distributions. To address this, we introduce a pseudo-supervised PU learning framework (PSPU), in which we train the PU model first, use it to gather …