Multivariate Analysis from a Statistical Point of View

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{cranmer-2003,
  author =       "Kyle S. Cranmer",
  title =        "Multivariate Analysis from a Statistical Point of
                 View",
  booktitle =    "Phystat2003",
  year =         "2003",
  editor =       "Louis Lyons and Richard Mount and Rebecca Reitmeyer",
  pages =        "211--214",
  address =      "SLAC, Stanford, USA",
  month =        sep # " 8-11",
  keywords =     "genetic algorithms, genetic programming, VC
                 dimension",
  URL =          "http://www.slac.stanford.edu/econf/C030908/papers/WEJT002.pdf",
  URL =          "http://www.citebase.org/abstract?id=oai:arXiv.org:physics/0310110",
  oai =          "oai:arXiv.org:physics/0402030",
  size =         "4 pages",
  abstract =     "Multivariate Analysis is an increasingly common tool
                 in experimental high energy physics; however, many of
                 the common approaches were borrowed from other fields.
                 We clarify what the goal of a multivariate algorithm
                 should be for the search for a new particle and compare
                 different approaches. We also translate the
                 Neyman-Pearson theory into the language of statistical
                 learning theory.",
  notes =        "http://www.slac.stanford.edu/econf/C030908/ Talk from
                 PhyStat2003, Stanford, Ca, USA, September 2003, LaTeX,
                 1 eps figures. PSN WEJT002 Section 6 page 214 talks
                 about GP",
}

Genetic Programming entries for Kyle S Cranmer

Citations