Created by W.Langdon from gp-bibliography.bib Revision:1.2031
@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",
URL = "
http://link.springer.de/link/service/series/0558/papers/2038/20380087.pdf",
URL = "
http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=2038&spage=87",
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