Multiple Network CGP for the Classification of Mammograms

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@InProceedings{Volk:evows09,

• author = "Katharina Volk and Julian Miller and Stephen L. Smith",
• title = "Multiple Network CGP for the Classification of Mammograms",
• booktitle = "Applications of Evolutionary Computing, EvoWorkshops2009: {EvoCOMNET}, {EvoENVIRONMENT}, {EvoFIN}, {EvoGAMES}, {EvoHOT}, {EvoIASP}, {EvoINTERACTION}, {EvoMUSART}, {EvoNUM}, {EvoPhD}, {EvoSTOC}, {EvoTRANSLOG}",
• year = "2009",
• month = "15-17 " # apr,
• editor = "Mario Giacobini and Ivanoe {De Falco} and Marc Ebner",
• series = "LNCS",
• volume = "5484",
• publisher = "Springer Verlag",
• address = "Tubingen, Germany",
• pages = "405--413",
• keywords = "genetic algorithms, genetic programming, Cartesian genetic programming",
• isbn13 = "978-3-642-01128-3",
• DOI = "doi:10.1007/978-3-642-01129-0_45",
• 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.",
• notes = "EvoWorkshops2009",

}

Genetic Programming entries for Katharina Volk Julian F Miller Stephen L Smith

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