Each of these nodes then discriminates between the first and last element in its list of classes, and so on.
using a graph-based optimisation approach, Goldberg and Zhu demonstrated that the inclusion of unlabeled reviews in the learning process could produce significantly higher prediction accuracy than predictors trained without unlabeled data.