Semi-supervised learning

This is a Method of machine learning, where a small set of labeled data is used to train a classifier which also makes use of a much larger set of unlabeled data. One popular version of semi-supervised learning is co-training, introduced by Avrim Blum and Tom Mitchell in 1998.