Thirdly, because the original terminate criterion requires an error estimation process in each iteration, we adapt the much simpler terminate criterion of standard Co-training into our algorithm, which iterates until all the unlabeled data are finally labeled or the candidate sets do not change since the last iteration.
our algorithm inherits both the benefits of using three classifiers and the simplicity of using Co-training style termination criterion.