Journal of Complexity
Note on free lunches and cross-validation
Neural Computation
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Mathematics of Generalization: Proceedings: SFI-CNLS Workshop on Formal Approaches to Supervised Learning (1992: Santa Fe, N. M.)
The lack of a priori distinctions between learning algorithms
Neural Computation
The existence of a priori distinctions between learning algorithms
Neural Computation
No free lunch for cross-validation
Neural Computation
Asymptotic statistical theory of overtraining and cross-validation
IEEE Transactions on Neural Networks
An approach to guaranteeing generalisation in neural networks
Neural Networks
MLP in layer-wise form with applications to weight decay
Neural Computation
On different facets of regularization theory
Neural Computation
No Free Lunch for Noise Prediction
Neural Computation
A Scalable Noise Reduction Technique for Large Case-Based Systems
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Noise reduction for instance-based learning with a local maximal margin approach
Journal of Intelligent Information Systems
Early stopping criteria to counteract overfitting in genetic programming
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
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