Local overfitting control via leverages
Neural Computation
Mlps (mono layer polynomials and multi layer perceptrons) for nonlinear modeling
The Journal of Machine Learning Research
A comparison of some error estimates for neural network models
Neural Computation
UC'06 Proceedings of the 5th international conference on Unconventional Computation
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"Jacobian Conditioning Analysis for Model Validation" by Rivals and Personnaz in this issue is a comment on Monari and Dreyfus (2002). In this reply, we disprove their claims. We point to flawed reasoning in the theoretical comments and to errors and inconsistencies in the numerical examples. Our replies are substantiated by seven counterexamples, inspired by actual data, which show that the comments on the accuracy of the computation of the leverages are unsupported and that following the approach they advocate leads to discarding valid models or validating overfitted models.