TY - GEN
T1 - Validation sets for evolutionary curtailment with improved generalisation
AU - Fitzgerald, Jeannie
AU - Ryan, Conor
PY - 2011
Y1 - 2011
N2 - This paper investigates the leveraging of a validation data set with Genetic Programming (GP) to counteract over-fitting. It considers fitness on both training and validation fitness, combined with with an early stopping mechanism to improve generalisation while significantly reducing run times. The method is tested on six benchmark binary classification data sets. Results of this preliminary investigation suggest that the strategy can deliver equivalent or improved results on test data.
AB - This paper investigates the leveraging of a validation data set with Genetic Programming (GP) to counteract over-fitting. It considers fitness on both training and validation fitness, combined with with an early stopping mechanism to improve generalisation while significantly reducing run times. The method is tested on six benchmark binary classification data sets. Results of this preliminary investigation suggest that the strategy can deliver equivalent or improved results on test data.
UR - http://www.scopus.com/inward/record.url?scp=80054070015&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-24082-9_35
DO - 10.1007/978-3-642-24082-9_35
M3 - Conference contribution
AN - SCOPUS:80054070015
SN - 9783642240812
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 282
EP - 289
BT - Convergence and Hybrid Information Technology - 5th International Conference, ICHIT 2011, Proceedings
T2 - 5th International Conference on Convergence and Hybrid Information Technology, ICHIT 2011
Y2 - 22 September 2011 through 24 September 2011
ER -