Practical methods of optimization; (2nd ed.)
Practical methods of optimization; (2nd ed.)
A universal theorem on learning curves
Neural Networks
Feedforward nets for interpolation and classification
Journal of Computer and System Sciences
Statistical theory of learning curves under entropic loss criterion
Neural Computation
Rigorous learning curve bounds from statistical mechanics
Machine Learning - Special issue on COLT '94
Pattern Recognition and Neural Networks
Pattern Recognition and Neural Networks
Learning Curves, Model Selection and Complexity of Neural Networks
Advances in Neural Information Processing Systems 5, [NIPS Conference]
Estimation of Dependences Based on Empirical Data: Springer Series in Statistics (Springer Series in Statistics)
IEEE Transactions on Information Theory
Asymptotic statistical theory of overtraining and cross-validation
IEEE Transactions on Neural Networks
Deterministic convergence of an online gradient method for neural networks
Journal of Computational and Applied Mathematics - Selected papers of the international symposium on applied mathematics, August 2000, Dalian, China
Learning Capability: Classical RBF Network vs. SVM with Gaussian Kernel
IEA/AIE '02 Proceedings of the 15th international conference on Industrial and engineering applications of artificial intelligence and expert systems: developments in applied artificial intelligence
Convergence of an online gradient method for feedforward neural networks with stochastic inputs
Journal of Computational and Applied Mathematics - Special issue on proceedings of the international symposium on computational mathematics and applications
Boundedness and convergence of online gradient method with penalty for feedforward neural networks
IEEE Transactions on Neural Networks
When does online BP training converge?
IEEE Transactions on Neural Networks
Convergence of an online gradient method for BP neural networks with stochastic inputs
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Boosting GARCH and neural networks for the prediction of heteroskedastic time series
Mathematical and Computer Modelling: An International Journal
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I
Convergence of chaos injection-based batch backpropagation algorithm for feedforward neural networks
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
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