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

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

@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",
  URL =          "http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=1802&spage=76",
  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