D R a Ft on Architecture Selection , Cross - Validation , Andcomplexity

Abstract

Determining the most appropriate network architecture for a data generating process (DGP) is a fundamental aspect of modeling relationships via artiicial neural networks. Cross-validatory techniques rank among the most popular approaches toward architecture-selection. Cross-validation is used to estimate the expected squared prediction error of a model… (More)

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