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Where should we stop? An investigation on early stopping for GP learning

Nguyen, T.H. and Nguyen, X.H. and McKay, B. and Nguyen, Q.U. (2012) Where should we stop? An investigation on early stopping for GP learning. In: 9th International Conference on Simulated Evolution and Learning, SEAL 2012, 16 December 2012 through 19 December 2012, Hanoi.

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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. © 2012 Springer-Verlag.

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculties > Faculty of Information Technology
Identification Number: 10.1007/978-3-642-34859-4_39
Uncontrolled Keywords: Early stopping; Generalisation; Noisy data; Stopping criteria; Training time; Artificial intelligence; Genetic programming
Additional Information: Conference code: 94550. Language of original document: English.
URI: http://eprints.lqdtu.edu.vn/id/eprint/10085

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