Model selection in genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Borges:2010:gecco,
  author =       "Cruz E. Borges and Cesar L. Alonso and 
                 Jose L. Montana",
  title =        "Model selection in genetic programming",
  booktitle =    "GECCO '10: Proceedings of the 12th annual conference
                 on Genetic and evolutionary computation",
  year =         "2010",
  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",
  isbn13 =       "978-1-4503-0072-8",
  pages =        "985--986",
  keywords =     "genetic algorithms, genetic programming, Poster",
  month =        "7-11 " # jul,
  organisation = "SIGEVO",
  address =      "Portland, Oregon, USA",
  DOI =          "doi:10.1145/1830483.1830662",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  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.",
  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