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2003

Fast approximation of the bootstrap for model selection

9 years 5 months ago
Fast approximation of the bootstrap for model selection
The bootstrap resampling method may be efficiently used to estimate the generalization error of a family of nonlinear regression models, as artificial neural networks. The main difficulty associated with the bootstrap in real-world applications is the high computation load. In this paper we propose a simple procedure based on empirical evidence, to considerably reduce the computation time needed to estimate the generalization error of a family of models of increasing number of parameters.
Geoffroy Simon, Amaury Lendasse, Vincent Wertz, Mi
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2003
Where ESANN
Authors Geoffroy Simon, Amaury Lendasse, Vincent Wertz, Michel Verleysen
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