1. D. Angluin and P. Laird. Learning from noisy examples. Machine Learning, 2(4):343–370, 1988.
2. A. Blum and T. Mitchell. Combining labeled and unlabeled data with cotraining. In Proc. 11th Annu. Conf. on Comput. Learning Theory, pages 92–100. ACM Press, New York, NY, 1998.
3. S. E. Decatur. Pac learning with constant-partition classification noise and applications to decision tree induction. In Proceedings of the Fourteenth International Conference on Machine Learning, 1997.
4. F. Denis. Pac learning from positive statistical queries. In ALT 98, 9th International Conference on Algorithmic Learning Theory, volume 1501 of Lecture Notes in Artificial Intelligence, pages 112–126. Springer-Verlag, 1998.
5. M. Kearns. Effcient noise-tolerant learning from statistical queries. In Proceedings of the 25th ACM Symposium on the Theory of Computing, pages 392–401. ACM Press, New York, NY, 1993.