Learnability and the Vapnik-Chervonenkis dimension
Journal of the ACM (JACM)
A guided tour of Chernoff bounds
Information Processing Letters
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Decision theoretic generalizations of the PAC model for neural net and other learning applications
Information and Computation
TRACKING DRIFTING CONCEPTS BY MINIMIZING DISAGREEMENTS
TRACKING DRIFTING CONCEPTS BY MINIMIZING DISAGREEMENTS
Estimation of Dependences Based on Empirical Data: Springer Series in Statistics (Springer Series in Statistics)
The complexity of learning according to two models of a drifting environment
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
The Complexity of Learning According to Two Models of a Drifting Environment
Machine Learning - The Eleventh Annual Conference on computational Learning Theory
Predictive learning models for concept drift
Theoretical Computer Science - Algorithmic learning theory
Predictive Learning Models for Concept Drift
ALT '98 Proceedings of the 9th International Conference on Algorithmic Learning Theory
Distinctive Features of Minimization of a Risk Functional in Mass Data Sets
Cybernetics and Systems Analysis
Tracking changes in user interests with a few relevance judgments
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Relevant Data Expansion for Learning Concept Drift from Sparsely Labeled Data
IEEE Transactions on Knowledge and Data Engineering
Pattern Recognition for Conditionally Independent Data
The Journal of Machine Learning Research
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