Model selection in genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8110
- @InProceedings{Borges:2010:gecco,
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author = "Cruz E. Borges and Cesar L. Alonso and
Jose L. Montana",
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title = "Model selection in genetic programming",
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booktitle = "GECCO '10: Proceedings of the 12th annual conference
on Genetic and evolutionary computation",
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year = "2010",
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editor = "Juergen Branke and Martin Pelikan and Enrique Alba and
Dirk V. Arnold and Josh Bongard and
Anthony Brabazon and Juergen Branke and Martin V. Butz and
Jeff Clune and Myra Cohen and Kalyanmoy Deb and
Andries P Engelbrecht and Natalio Krasnogor and
Julian F. Miller and Michael O'Neill and Kumara Sastry and
Dirk Thierens and Jano {van Hemert} and Leonardo Vanneschi and
Carsten Witt",
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isbn13 = "978-1-4503-0072-8",
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pages = "985--986",
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keywords = "genetic algorithms, genetic programming, Poster",
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month = "7-11 " # jul,
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organisation = "SIGEVO",
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address = "Portland, Oregon, USA",
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DOI = "doi:10.1145/1830483.1830662",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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abstract = "In this paper we discuss the problem of model
selection in Genetic Programming. We present empirical
comparisons between classical statistical methods (AIC,
BIC) adapted to Genetic Programming and the Structural
Risk Minimisation method (SRM) based on
Vapnik-Chervonenkis theory (VC), for symbolic
regression problems with added noise. We also introduce
a new model complexity measure for the SRM method that
tries to measure the non-linearity of the model. The
experimentation suggests practical advantages of using
VC-based model selection with the new complexity
measure, when using genetic training.",
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notes = "Also known as \cite{1830662} GECCO-2010 A joint
meeting of the nineteenth international conference on
genetic algorithms (ICGA-2010) and the fifteenth annual
genetic programming conference (GP-2010)",
- }
Genetic Programming entries for
Cruz Enrique Borges
Cesar Luis Alonso
Jose Luis Montana Arnaiz
Citations