Evolving Receiver Operating Characteristics for Data Fusion
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{langdon:2001:eROC,
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author = "William B. Langdon and Bernard F. Buxton",
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title = "Evolving Receiver Operating Characteristics for Data
Fusion",
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booktitle = "Genetic Programming, Proceedings of EuroGP'2001",
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year = "2001",
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editor = "Julian F. Miller and Marco Tomassini and
Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and
William B. Langdon",
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volume = "2038",
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series = "LNCS",
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pages = "87--96",
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address = "Lake Como, Italy",
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publisher_address = "Berlin",
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month = "18-20 " # apr,
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organisation = "EvoNET",
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming, Data Fusion,
Data Mining, Knowledge Discovery, Receiver Operating
Characteristics, ROC, Combining Classifiers",
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ISBN = "3-540-41899-7",
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URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/wbl_egp2001.ps.gz",
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DOI = "doi:10.1007/3-540-45355-5_8",
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size = "10 pages",
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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.",
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notes = "EuroGP'2001, part of \cite{miller:2001:gp}",
- }
Genetic Programming entries for
William B Langdon
Bernard Buxton
Citations