Four types of noise in data for PAC learning

Improved lower bounds for learning from noisy examples: an information-theoretic approach

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

Noise-tolerant distribution-free learning of general geometric concepts

Journal of the ACM (JACM)

Debiasing Training Data for Inductive Expert System Construction

IEEE Transactions on Knowledge and Data Engineering

Noise reduction of hyperspectral data using singular spectral analysis

International Journal of Remote Sensing

A study of the effect of different types of noise on the precision of supervised learning techniques

Artificial Intelligence Review

Computational learning theory

Algorithms and theory of computation handbook

PAC-Learning with general class noise models

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