Boosting technique for Combining Cellular GP Classifiers
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{folino:2004:eurogp,
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author = "Gianluigi Folino and Clara Pizzuti and
Giandomenico Spezzano",
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title = "Boosting technique for Combining Cellular GP
Classifiers",
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booktitle = "Genetic Programming 7th European Conference, EuroGP
2004, Proceedings",
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year = "2004",
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editor = "Maarten Keijzer and Una-May O'Reilly and
Simon M. Lucas and Ernesto Costa and Terence Soule",
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volume = "3003",
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series = "LNCS",
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pages = "47--56",
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address = "Coimbra, Portugal",
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publisher_address = "Berlin",
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month = "5-7 " # apr,
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organisation = "EvoNet",
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-21346-5",
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DOI = "doi:10.1007/978-3-540-24650-3_5",
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abstract = "An extension of Cellular Genetic Programming for data
classification with the boosting technique is presented
and a comparison with the bagging-like majority voting
approach is performed. The method is able to deal with
large data sets that do not fit in main memory since
each classifier is trained on a subset of the overall
training data. Experiments showed that, by using a
sample of reasonable size, the extension with these
voting algorithms enhances classification accuracy at a
much lower computational cost.",
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notes = "Part of \cite{keijzer:2004:GP} EuroGP'2004 held in
conjunction with EvoCOP2004 and EvoWorkshops2004",
- }
Genetic Programming entries for
Gianluigi Folino
Clara Pizzuti
Giandomenico Spezzano
Citations