1. Manifold regularization: a geometric framework for learning from labeled and unlabeled examples;Belkin;J. Mach. Learn. Res.,2006
2. C. M. Bishop, Pattern Recognition and Machine Learning, Springer, pp. 703–705.
3. Combining labeled and unlabeled data with co-training;Blum,1998
4. Applying a multitask feature sparsity method for the classification of semantic relations between nominals;Chao,2012
5. Semi-supervised multitask learning via self-training and maximum entropy discrimination;Chao,2012