Oussar Y, Monari G, Dreyfus G. (2004). Reply to the comments on "Local Overfitting Control via Leverages" in "Jacobian Conditioning Analysis for Model Validation" by I. Rivals and L. Personnaz. Neural computation. 16 [PubMed]

See more from authors: Oussar Y · Monari G · Dreyfus G

References and models cited by this paper

Bates DM, Watts DG. (1988). Nonlinear regression analysis and its applications.

Dreyfus G, Dreyfus C. (2003). A machine learning approach to the estimation of the liquidus temperature of glassforming oxide blends J Non-Crystalline Solids. 318

Dreyfus G, Monari G. (2000). Withdrawing an example from the training set: An analytic estimation of its effect on a nonlinear parameterized model Neurocomputing. 35

Hansen LK, Larsen J. (1996). Linear unlearning for cross-validation Advances In Computational Mathematics. 5

Hansen LK, Larsen J. (2001). Comments for: Rivals I., Personnaz L., Construction of confidence intervals for neural networks based on least squares estimation Neural Netw. 15

Hansen LK, Larsen J, Sorensen PH, Norgard M. (1996). Cross-validation with LULOO Proceedings of the International Conference on Neural Information Processing-ICONIP96.

Monari G. (1999). Selection de modeles non lineaires par leave-one-out: etude theorique et application des reseaux de neurones au procede de soudage par points.

Monari G, Dreyfus G. (2002). Local overfitting control via leverages. Neural computation. 14 [PubMed]

Personnaz L, Rivals I. (1998). Construction of confidence intervals in neural modeling using a linear Taylor expansion Proceedings of the International Workshop on Advanced Black-Box Techniques for Nonlinear Modeling.

Personnaz L, Rivals I. (2003). MLPs (mono-layer polynomials and multi-layer perceptrons) for nonlinear modeling J Mach Learn Res. 3

Rivals I, Personnaz L. (2000). Construction of confidence intervals for neural networks based on least squares estimation. Neural networks : the official journal of the International Neural Network Society. 13 [PubMed]

Seber GAF, Wild CJ. (1989). Nonlinear regression.

Tibshirani RJ. (1996). A comparison of some error estimates for neural models Neural Comput. 8

References and models that cite this paper
This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.