Genetic Programming, Ensemble Methods and the Bias/Variance Tradeoff - Introductory Investigations

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@InProceedings{keijzer:2000:GPbvt,

• author = "Maarten Keijzer and Vladan Babovic",
• title = "Genetic Programming, Ensemble Methods and the Bias/Variance Tradeoff - Introductory Investigations",
• booktitle = "Genetic Programming, Proceedings of EuroGP'2000",
• year = "2000",
• editor = "Riccardo Poli and Wolfgang Banzhaf and William B. Langdon and Julian F. Miller and Peter Nordin and Terence C. Fogarty",
• volume = "1802",
• series = "LNCS",
• pages = "76--90",
• address = "Edinburgh",
• publisher_address = "Berlin",
• month = "15-16 " # apr,
• organisation = "EvoNet",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-67339-3",
• DOI = "doi:10.1007/978-3-540-46239-2_6",
• abstract = "The decomposition of regression error into bias and variance terms provides insight into the generalisation capability of modelling methods. The paper offers an introduction to bias/variance decomposition of mean squared error, as well as a presentation of experimental results of the application of genetic programming. Finally ensemble methods such as bagging and boosting are discussed that can reduce the generalisation error in genetic programming.",
• notes = "EuroGP'2000, part of \cite{poli:2000:GP}",

}

Genetic Programming entries for Maarten Keijzer Vladan Babovic

Citations