Active learning of neural networks based on influential statistics
Guillem Cuesta, Carlos Rio, S. Jankowski · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2013
The paper presents a method of the training set selection in order to improve the generalization of neural networks. The data search is based on the estimation of their influence on the network expressed by the influential statistics. This active learning method is presented by using the didactic example. It can be concluded that the designed neural network for regression achieved high generalization score avoiding overfitting while trained on the minimal training set.