Proceedings of the 13th Annual Conference Companion on Genetic and Evolutionary Computation 2011
DOI: 10.1145/2001858.2001971
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Early stopping criteria to counteract overfitting in genetic programming

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Cited by 7 publications
(1 citation statement)
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“…This presents a valuable opportunity to apply approaches implemented in the neural networks literature, to the field GP. This work is related to work we carried out using early stopping criteria with symbolic regression in [24]. We also implement an additional stopping criteria not found in the work carried out in [21].…”
Section: Investigations: Stopping Criteria Applied To a Financial Datmentioning
confidence: 99%
“…This presents a valuable opportunity to apply approaches implemented in the neural networks literature, to the field GP. This work is related to work we carried out using early stopping criteria with symbolic regression in [24]. We also implement an additional stopping criteria not found in the work carried out in [21].…”
Section: Investigations: Stopping Criteria Applied To a Financial Datmentioning
confidence: 99%