Multivariate Analysis from a Statistical Point of View

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@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