Genetic Programming, Ensemble Methods and the Bias/Variance Tradeoff - Introductory Investigations
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{keijzer:2000:GPbvt,
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author = "Maarten Keijzer and Vladan Babovic",
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title = "Genetic Programming, Ensemble Methods and the
Bias/Variance Tradeoff - Introductory Investigations",
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booktitle = "Genetic Programming, Proceedings of EuroGP'2000",
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year = "2000",
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editor = "Riccardo Poli and Wolfgang Banzhaf and
William B. Langdon and Julian F. Miller and Peter Nordin and
Terence C. Fogarty",
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volume = "1802",
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series = "LNCS",
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pages = "76--90",
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address = "Edinburgh",
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publisher_address = "Berlin",
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month = "15-16 " # apr,
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organisation = "EvoNet",
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-67339-3",
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DOI = "doi:10.1007/978-3-540-46239-2_6",
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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.",
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notes = "EuroGP'2000, part of \cite{poli:2000:GP}",
- }
Genetic Programming entries for
Maarten Keijzer
Vladan Babovic
Citations