Validation Sets, Genetic Programming and Generalisation

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Fitzgerald:2011:SGAI,

• author = "Jeannie Fitzgerald and Conor Ryan",
• title = "Validation Sets, Genetic Programming and Generalisation",
• booktitle = "Proceedings of the 31st SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI-2011",
• year = "2011",
• editor = "Max Bramer and Miltos Petridis and Lars Nolle",
• pages = "79--92",
• address = "Cambridge, England",
• publisher_address = "London",
• month = dec,
• organisation = "BCS special interest group on Artificial Intelligence",
• publisher = "Springer",
• note = "Research and Development in Intelligent Systems XXVIII, Incorporating Applications and Innovations in Intelligent Systems XIX",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-1-4471-2318-7",
• DOI = "doi:10.1007/978-1-4471-2318-7_6",
• abstract = "a new application of a validation set when using a three data set methodology with Genetic Programming (GP). Our system uses Validation Pressure combined with Validation Elitism to influence fitness evaluation and population structure with the aim of improving the system's ability to evolve individuals with an enhanced capacity for generalisation. This strategy facilitates the use of a validation set to reduce over-fitting while mitigating the loss of training data associated with traditional methods employing a validation set. The method is tested on five benchmark binary classification data sets and results obtained suggest that the strategy can deliver improved generalisation on unseen test data.",
• affiliation = "BDS Group, CSIS Department, University of Limerick, Limerick, Ireland",

}

Genetic Programming entries for Jeannie Fitzgerald Conor Ryan

Citations