Learnability and the Vapnik-Chervonenkis dimension
Journal of the ACM (JACM)
The learnability of formal concepts
COLT '90 Proceedings of the third annual workshop on Computational learning theory
Semantic complexity of classes of relational queries and query independent data partitioning
PODS '91 Proceedings of the tenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Learning time-varying concepts
NIPS-3 Proceedings of the 1990 conference on Advances in neural information processing systems 3
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
Decision theoretic generalizations of the PAC model for neural net and other learning applications
Information and Computation
The weighted majority algorithm
Information and Computation
Tracking Drifting Concepts By Minimizing Disagreements
Machine Learning - Special issue on computational learning theory
Predicting {0, 1}-functions on randomly drawn points
Information and Computation
Toward Efficient Agnostic Learning
Machine Learning - Special issue on computational learning theory, COLT'92
Sphere packing numbers for subsets of the Boolean n-cube with bounded Vapnik-Chervonenkis dimension
Journal of Combinatorial Theory Series A
Learning to model sequences generated by switching distributions
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
General bounds on the number of examples needed for learning probabilistic concepts
Journal of Computer and System Sciences
Learning changing concepts by exploiting the structure of change
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
On the complexity of learning from drifting distributions
Information and Computation
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
On the sample complexity of learning functions with bounded variation
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Learning Under Persistent Drift
EuroCOLT '97 Proceedings of the Third European Conference on Computational Learning Theory
FOCS '95 Proceedings of the 36th Annual Symposium on Foundations of Computer Science
Comparison of tracking algorithms for single layer thresholdnetworks in the presence of random drift
IEEE Transactions on Signal Processing
On the sample complexity of learning functions with bounded variation
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Improved bounds on the sample complexity of learning
SODA '00 Proceedings of the eleventh annual ACM-SIAM symposium on Discrete algorithms
Learning Changing Concepts by Exploiting the Structure of Change
Machine Learning
Lower Bounds for Training and Leave-One-Out Estimates of the Generalization Error
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Efficient algorithms for learning functions with bounded variation
Information and Computation
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