Co-evolution of Nearest Neighbor Classifiers
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @Article{Gagne:2007:ijPRAI,
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author = "Christian Gagn\'e and Marc Parizeau",
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title = "Co-evolution of Nearest Neighbor Classifiers",
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journal = "International Journal of Pattern Recognition and
Artificial Intelligence",
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year = "2007",
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volume = "21",
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number = "5",
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pages = "921--946",
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month = aug,
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keywords = "genetic algorithms, genetic programming",
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ISSN = "0218-0014",
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URL = "http://vision.gel.ulaval.ca/en/publications/Id_692/PublDetails.php",
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DOI = "doi:10.1142/S0218001407005752",
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abstract = "This paper presents experiments of Nearest Neighbour
(NN) classifier design using different evolutionary
computation methods. Through multi-objective and
co-evolution techniques, it combines genetic algorithms
and genetic programming to both select NN prototypes
and design a neighbourhood proximity measure, in order
to produce a more efficient and robust classifier. The
proposed approach is compared with the standard NN
classifier, with and without the use of classic
prototype selection methods, and classic data
normalisation. Results on both synthetic and real data
sets show that the proposed methodology performs as
well or better than other methods on all tested data
sets.",
- }
Genetic Programming entries for
Christian Gagne
Marc Parizeau
Citations