Computational learning theory: survey and selected bibliography
STOC '92 Proceedings of the twenty-fourth annual ACM symposium on Theory of computing
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Learning with a slowly changing distribution
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Toward efficient agnostic learning
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
On the complexity of learning from drifting distributions
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
Tolerating Concept and Sampling Shift in Lazy Learning UsingPrediction Error Context Switching
Artificial Intelligence Review - Special issue on lazy learning
Tracking linear-threshold concepts with Winnow
The Journal of Machine Learning Research
Pattern Recognition for Conditionally Independent Data
The Journal of Machine Learning Research
Boosting classifiers for drifting concepts
Intelligent Data Analysis - Knowlegde Discovery from Data Streams
Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts
The Journal of Machine Learning Research
Handling Missing Data from Heteroskedastic and Nonstationary Data
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
On-line learning with delayed label feedback
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
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