1. Learning from noisy examples;Angluin;Machine Learning,1988
2. A. Blum, A. Kalai, H. Wasserman, Noise-tolerant learning, the parity problem, and the statistical query model, in: Proc. 32nd Annu. ACM Symp. on Theory of Computing, 2000, pp. 435–440.
3. A. Blum, T. Mitchell, Combining labeled and unlabeled data with co-training, in: Proc. 11th Annu. Conf. on Computational Learning Theory, 1998, pp. 92–100.
4. L. Breiman, J.H. Friedman, R.A. Olshen, C.J. Stone, Classification and regression trees, Technical Report, Wadsworth International, Monterey, CA, 1984.
5. S.E. Decatur, Pac learning with constant-partition classification noise and applications to decision tree induction, in: Proc. 14th Internat. Conf. on Machine Learning, 1997, pp. 83–91.