PAC Learning with Constant-Partition Classification Noise and Applications to Decision Tree Induction

Combining labeled and unlabeled data with co-training

COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory

PAC learning with nasty noise

Theoretical Computer Science

Positive and Unlabeled Examples Help Learning

ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory

Learning from Positive and Unlabeled Examples

ALT '00 Proceedings of the 11th International Conference on Algorithmic Learning Theory

PAC Learning from Positive Statistical Queries

ALT '98 Proceedings of the 9th International Conference on Algorithmic Learning Theory

CN = CPCN

ICML '06 Proceedings of the 23rd international conference on Machine learning

Learning from positive and unlabeled examples

Theoretical Computer Science - Algorithmic learning theory (ALT 2000)

A hybrid generative/discriminative method for semi-supervised classification

Knowledge-Based Systems

PAC-Learning with general class noise models

KI'12 Proceedings of the 35th Annual German conference on Advances in Artificial Intelligence