Multiple Network CGP for the Classification of Mammograms
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{Volk:evows09,
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author = "Katharina Volk and Julian Miller and
Stephen L. Smith",
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title = "Multiple Network CGP for the Classification of
Mammograms",
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booktitle = "Applications of Evolutionary Computing,
EvoWorkshops2009: {EvoCOMNET}, {EvoENVIRONMENT},
{EvoFIN}, {EvoGAMES}, {EvoHOT}, {EvoIASP},
{EvoINTERACTION}, {EvoMUSART}, {EvoNUM}, {EvoPhD},
{EvoSTOC}, {EvoTRANSLOG}",
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year = "2009",
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month = "15-17 " # apr,
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editor = "Mario Giacobini and Ivanoe {De Falco} and Marc Ebner",
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series = "LNCS",
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volume = "5484",
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publisher = "Springer Verlag",
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address = "Tubingen, Germany",
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pages = "405--413",
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keywords = "genetic algorithms, genetic programming, Cartesian
genetic programming",
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isbn13 = "978-3-642-01128-3",
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DOI = "doi:10.1007/978-3-642-01129-0_45",
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abstract = "This paper presents a novel representation of
Cartesian genetic programming (CGP) in which multiple
networks are used in the classification of high
resolution X-rays of the breast, known as mammograms.
CGP networks are used in a number of different
recombination strategies and results are presented for
mammograms taken from the Lawrence Livermore National
Laboratory database.",
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notes = "EvoWorkshops2009",
- }
Genetic Programming entries for
Katharina Volk
Julian F Miller
Stephen L Smith
Citations