P. Guangyuan

In-training and post-training generalization methods: The case of ppar — α and ppar — γ agonists

2015

In this paper, the effects of regularization on the generalization capabilities of a neural network model are analyzed. We compare the performance of Levenberg-Marquardt and Bayesian Regularization algorithms with and without post-training regularization. We show …