Evolving Receiver Operating Characteristics for Data Fusion

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{langdon:2001:eROC,

• author = "William B. Langdon and Bernard F. Buxton",
• title = "Evolving Receiver Operating Characteristics for Data Fusion",
• 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",
• 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

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