A course in density estimation
A course in density estimation
Creating artificial neural networks that generalize
Neural Networks
Decision theoretic generalizations of the PAC model for neural net and other learning applications
Information and Computation
Training with noise is equivalent to Tikhonov regularization
Neural Computation
From data distributions to regularization in invariant learning
Neural Computation
Numerical Recipes in C: The Art of Scientific Computing
Numerical Recipes in C: The Art of Scientific Computing
Estimation of Dependences Based on Empirical Data: Springer Series in Statistics (Springer Series in Statistics)
IEEE Transactions on Neural Networks
ICML '06 Proceedings of the 23rd international conference on Machine learning
IEEE Transactions on Neural Networks
The Journal of Machine Learning Research
Expert Systems with Applications: An International Journal
VTG schemes for using back propagation for multivariate time series prediction
Applied Soft Computing
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