Where should we stop? An investigation on early stopping for GP learning
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Nguyen, Thi Hien
Nguyen, Xuan Hoai
McKay, Bob
Nguyen, Quang Uy
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Abstract
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.
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Simulated Evolution and Learning - 9th International Conference, SEAL 2012, Proceedings
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