[HTML][HTML] Early stopping by correlating online indicators in neural networks

MV Ferro, YD Mosquera, FJR Pena, VMD Bilbao - Neural Networks, 2023 - Elsevier
In order to minimize the generalization error in neural networks, a novel technique to identify
overfitting phenomena when training the learner is formally introduced. This enables support …

A new wave: a dynamic approach to genetic programming

D Medernach, J Fitzgerald, RMA Azad… - Proceedings of the …, 2016 - dl.acm.org
Wave is a novel form of semantic genetic programming which operates by optimising the
residual errors of a succession of short genetic programming runs, and then producing a …

A Study on Fitness Representation in Genetic Programming

TP Thi, XH Nguyen, TT Nguyen - Advances in Information and …, 2017 - Springer
In this paper, we propose a variation on the fitness function in Genetic Programming based
on Bias-Variance Genetic Programming (BVGP)[2], called BVGP*. In order to evaluate the …

[引用][C] AN EMPIRICAL STUDY OF EARLY STOPPING IN GENETIC PROGRAMMING

NT Hien, NX Hoai, NQ Uy, NT Quyen - Le Quy Don Technical University-Section on …, 2016