High energy physics data analysis with gene expression programming

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@InProceedings{Teodorescu:2005:IEEnsscr,
  author =       "Liliana Teodorescu",
  title =        "High energy physics data analysis with gene expression
                 programming",
  booktitle =    "IEEE Nuclear Science Symposium Conference Record",
  year =         "2005",
  volume =       "1",
  pages =        "143--147",
  month =        "23-29 " # oct,
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming, Gene
                 Expression Programming, data analysis, high energy
                 physics instrumentation computing, evolutionary
                 algorithm, gene expression programming, high energy
                 physics data analysis",
  DOI =          "doi:10.1109/NSSMIC.2005.1596225",
  abstract =     "Gene expression programming is a new evolutionary
                 algorithm that overcomes many limitations of the more
                 established genetic algorithms and genetic programming.
                 Its first application to high energy physics data
                 analysis is presented. The algorithm was successfully
                 used for event selection on samples with both low and
                 high background level. The signal/background
                 classification accuracy was over 90percent in all
                 cases.",
  notes =        "ISSN: 1082-3654 INSPEC Accession Number:8976991",
}

Genetic Programming entries for Liliana Teodorescu

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