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Where Should We Stop? An Investigation on Early Stopping for GP Learning

2012
We investigate the impact of early stopping on the speed and accuracy of Genetic Programming (GP) learning from noisy data. Early stopping, using a popular stopping criterion, maintains the generalisation capacity of GP while significantly reducing its training time.
Nguyen Thi Hien   +3 more
openaire   +2 more sources

Improvement of emotion recognition from facial images using deep learning and early stopping cross validation

Multimedia tools and applications, 2022
M. Bentoumi   +3 more
semanticscholar   +1 more source

Early stopping by correlating online indicators in neural networks

Neural Networks, 2023
VĂ­ctor M Darriba Bilbao   +1 more
exaly  

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