Genetic Programming for Combining Classifiers
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{langdon:2001:gROC,
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title = "Genetic Programming for Combining Classifiers",
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author = "W. B. Langdon and B. F. Buxton",
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pages = "66--73",
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year = "2001",
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publisher = "Morgan Kaufmann",
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booktitle = "Proceedings of the Genetic and Evolutionary
Computation Conference (GECCO-2001)",
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editor = "Lee Spector and Erik D. Goodman and Annie Wu and
W. B. Langdon and Hans-Michael Voigt and Mitsuo Gen and
Sandip Sen and Marco Dorigo and Shahram Pezeshk and
Max H. Garzon and Edmund Burke",
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address = "San Francisco, California, USA",
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publisher_address = "San Francisco, CA 94104, USA",
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month = "7-11 " # jul,
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keywords = "genetic algorithms, genetic programming, data fusion,
data mining, knowledge discovery, Receiver Operating
Characteristics, ensemble of classifiers, size fair
crossover",
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ISBN = "1-55860-774-9",
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URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/WBL_gecco2001_roc.pdf",
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URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/WBL_gecco2001_roc.ps.gz",
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URL = "http://gpbib.cs.ucl.ac.uk/gecco2001/d01.pdf",
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size = "8 pages",
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abstract = "Genetic programming (GP) can automatically fuse given
classifiers to produce a combined classifier whose
Receiver Operating Characteristics (ROC) are better
than scott:1998:BMVC ``Maximum Realisable Receiver
Operating Characteristics'' (MRROC). I.e. better than
their convex hull. This is demonstrated on artificial,
medical and satellite image processing bench marks.",
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notes = "GECCO-2001 A joint meeting of the tenth International
Conference on Genetic Algorithms (ICGA-2001) and the
sixth Annual Genetic Programming Conference (GP-2001)
Part of \cite{spector:2001:GECCO}",
- }
Genetic Programming entries for
William B Langdon
Bernard Buxton
Citations