Abstract: We observe a training set Q composed of l labeled samples {(X/sub 1/,/spl theta//sub 1/),...,(X/sub l/, /spl theta//sub l/)} and u unlabeled samples {X/sub ...

The positive and unlabeled learning (PUL) algorithm, which trains a binary classifier from positive and unlabeled data, has been shown to be promising in one-class classification. The implementation ...