The process of semi-supervised self-training.

Abstract

<p>The whole approach can be generalized into an iteration process of training and predicting. Condition 1 tells if the sample confirms to the expansion rules. Condition 2 tells if all unlabeled data in test set are labeled by the classifier. Condition 3 tells if the candidate set contains samples with positive label and negative label at the same time.</p