Using Imaginary Ensembles to Select GP Classifiers

Created by W.Langdon from gp-bibliography.bib Revision:1.7917

@InProceedings{Johansson:2010:EuroGP,

• author = "Ulf Johansson and Rikard Konig and Tuve Lofstrom and Lars Niklasson",
• title = "Using Imaginary Ensembles to Select GP Classifiers",
• booktitle = "Proceedings of the 13th European Conference on Genetic Programming, EuroGP 2010",
• year = "2010",
• editor = "Anna Isabel Esparcia-Alcazar and Aniko Ekart and Sara Silva and Stephen Dignum and A. Sima Uyar",
• volume = "6021",
• series = "LNCS",
• pages = "278--288",
• address = "Istanbul",
• month = "7-9 " # apr,
• organisation = "EvoStar",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-642-12147-0",
• DOI = "doi:10.1007/978-3-642-12148-7_24",
• abstract = "When predictive modeling requires comprehensible models, most data miners will use specialized techniques producing rule sets or decision trees. This study, however, shows that genetically evolved decision trees may very well outperform the more specialized techniques. The proposed approach evolves a number of decision trees and then uses one of several suggested selection strategies to pick one specific tree from that pool. The inherent inconsistency of evolution makes it possible to evolve each tree using all data, and still obtain somewhat different models. The main idea is to use these quite accurate and slightly diverse trees to form an imaginary ensemble, which is then used as a guide when selecting one specific tree. Simply put, the tree classifying the largest number of instances identically to the ensemble is chosen. In the experimentation, using 25 UCI data sets, two selection strategies obtained significantly higher accuracy than the standard rule inducer J48.",
• notes = "BNF grammar, parsimony pressure to lessen bloat, persistence, roulette wheel selection, p287 suggests opaque techniques (ANN, SVM, ensembles) will 'almost always' do better than rule sets or decision trees. Part of \cite{Esparcia-Alcazar:2010:GP} EuroGP'2010 held in conjunction with EvoCOP2010 EvoBIO2010 and EvoApplications2010",

}

Genetic Programming entries for Ulf Johansson Rikard Konig Tuve Lofstrom Lars Niklasson

Citations