Algorithmic stability and sanity-check bounds for leave-one-out cross-validation
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Statistical Mechanics of Online Learning of Drifting Concepts: A Variational Approach
Machine Learning - Special issue on context sensitivity and concept drift
Theoretical analysis of a class of randomized regularization methods
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Efficient progressive sampling
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Parameter convergence and learning curves for neural networks
Neural Computation
A Scalable Constant-Memory Sampling Algorithm for Pattern Discovery in Large Databases
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Distribution-Dependent Vapnik-Chervonenkis Bounds
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
Average-Case Analysis of Classification Algorithms for Boolean Functions and Decision Trees
ALT '00 Proceedings of the 11th International Conference on Algorithmic Learning Theory
Progressive rademacher sampling
Eighteenth national conference on Artificial intelligence
Finding the most interesting patterns in a database quickly by using sequential sampling
The Journal of Machine Learning Research
Tree induction vs. logistic regression: a learning-curve analysis
The Journal of Machine Learning Research
Asymptotic properties of the Fisher kernel
Neural Computation
Computable Shell Decomposition Bounds
The Journal of Machine Learning Research
Predictability, Complexity, and Learning
Neural Computation
Combinatorial shell bounds for generalization ability
Pattern Recognition and Image Analysis
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Sequential testing in classifier evaluation yields biased estimates of effectiveness
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Random walk kernels and learning curves for Gaussian process regression on random graphs
The Journal of Machine Learning Research
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