Group Classification Using a Mix of Genetic Programming and Genetic Algorithms
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Konstam:1998:gcGPGA,
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author = "Aaron Konstam",
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title = "Group Classification Using a Mix of Genetic
Programming and Genetic Algorithms",
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booktitle = "1998 ACM Symposium on Applied Computing",
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year = "1998",
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editor = "K. M. George",
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pages = "308--312",
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address = "Marriott Marquis, Atlanta, Georgia, U.S.A.",
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month = "27 " # feb # "-1 " # mar,
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publisher = "ACM",
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keywords = "genetic algorithms, genetic programming,
classification, discriminant functions",
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ISBN = "0-89791-969-6",
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URL = "http://www.cogsci.ed.ac.uk/~ceilidh/SAC-Papers/Paper34/index.html",
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URL = "http://dl.acm.org/citation.cfm?id=330712",
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DOI = "doi:10.1145/330560.330712",
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acmid = "330712",
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size = "5 pages",
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abstract = "The goal of this study was to develop an algorithm for
2-group classification by discriminant analysis using
genetic programming and genetic algorithms. This
algorithm was tested on both theoretical and real world
data. The genetic programming was used to find the
functional form of the discriminant function and the
genetic algorithms were then used to determine the
coefficients of the functional form that maximises the
classification of the data instances into the two
groups. The algorithms worked well, giving results that
were comparable to or better than competing
classification algorithms.",
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notes = "SAC'98",
- }
Genetic Programming entries for
Aaron Konstam
Citations