Author:
Letouzey Fabien,Denis François,Gilleron Rémi
Publisher
Springer Berlin Heidelberg
Reference15 articles.
1. D. Angluin and P. Laird. Learning from noisy examples. Machine Learning, 2(4):343–370, 1988.
2. L. Breiman, J. H. Friedman, R. A. Olshen, and C. J. Stone. Classification and regression trees. Technical report, Wadsworth International, Monterey, CA, 1984.
3. A. Blum, A. Kalai, and H. Wasserman. Noise-tolerant learning, the parity problem, and the statistical query model. In Proceedings of the 32nd Annual ACM Symposium on Theory of Computing, 2000. To appear.
4. 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.
5. F. DeComité, F. Denis, R. Gilleron, and F. Letouzey. Positive and unlabeled examples help learning. In ALT 99, 10th International Conference on Algorithmic Learning Theory, volume 1720 of LNAI, pages 219–230, 1999.
Cited by
27 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献