Polynomial bounds for VC dimension of sigmoidal neural networks
STOC '95 Proceedings of the twenty-seventh annual ACM symposium on Theory of computing
Noise-tolerant learning near the information-theoretic bound
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
A framework for structural risk minimisation
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
Cross-validation for binary classification by real-valued functions: theoretical analysis
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
On-line learning with malicious noise and the closure algorithm
Annals of Mathematics and Artificial Intelligence
Probabilistic ’generalization‘ of functions and dimension-based uniform convergence results
Statistics and Computing
Data-Dependent Margin-Based Generalization Bounds for Classification
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
The Journal of Machine Learning Research
Detecting change in data streams
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Vapnik-chervonenkis generalization bounds for real valued neural networks
Neural Computation
Cybernetics and Systems Analysis
Probabilities of discrepancy between minima of cross-validation, Vapnik bounds and true risks
International Journal of Applied Mathematics and Computer Science
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