Evolving Receiver Operating Characteristics for Data Fusion

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

  author =       "William B. Langdon and Bernard F. Buxton",
  title =        "Evolving Receiver Operating Characteristics for Data
  booktitle =    "Genetic Programming, Proceedings of EuroGP'2001",
  year =         "2001",
  editor =       "Julian F. Miller and Marco Tomassini and 
                 Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and 
                 William B. Langdon",
  volume =       "2038",
  series =       "LNCS",
  pages =        "87--96",
  address =      "Lake Como, Italy",
  publisher_address = "Berlin",
  month =        "18-20 " # apr,
  organisation = "EvoNET",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming, Data Fusion,
                 Data Mining, Knowledge Discovery, Receiver Operating
                 Characteristics, ROC, Combining Classifiers",
  ISBN =         "3-540-41899-7",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/wbl_egp2001.ps.gz",
  URL =          "http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=2038&spage=87",
  DOI =          "doi:10.1007/3-540-45355-5_8",
  size =         "10 pages",
  abstract =     "It has been suggested that the Maximum Realisable
                 Receiver Operating Characteristics for a combination of
                 classifiers is the convex hull of their individual ROCs
                 [Scott et al., 1998]. As expected in at least some
                 cases better ROCs can be produced. We show genetic
                 programming (GP) can automatically produce a
                 combination of classifiers whose ROC is better than the
                 convex hull of the supplied classifier's ROCs.",
  notes =        "EuroGP'2001, part of \cite{miller:2001:gp}",

Genetic Programming entries for William B Langdon Bernard Buxton