Bloat Free Genetic Programming versus Classification Trees for Identification of Burned Areas in Satellite Imagery
Created by W.Langdon from
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- @InProceedings{Silva:2010:EvoIASP,
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author = "Sara Silva and Maria J. Vasconcelos and
Joana B. Melo",
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title = "Bloat Free Genetic Programming versus Classification
Trees for Identification of Burned Areas in Satellite
Imagery",
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booktitle = "EvoIASP",
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year = "2010",
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editor = "Cecilia {Di Chio} and Stefano Cagnoni and
Carlos Cotta and Marc Ebner and Aniko Ekart and
Anna I. Esparcia-Alcazar and Chi-Keong Goh and
Juan J. Merelo and Ferrante Neri and Mike Preuss and
Julian Togelius and Georgios N. Yannakakis",
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volume = "6024",
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series = "LNCS",
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pages = "272--281",
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address = "Istanbul",
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month = "7-9 " # apr,
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organisation = "EvoStar",
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-642-12238-5",
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DOI = "doi:10.1007/978-3-642-12239-2_28",
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size = "10 pages",
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abstract = "This paper compares Genetic Programming and
Classification Trees on a problem of identification of
burned areas in satellite imagery. Additionally, it
studies how the most recently recognized bloat control
technique, Operator Equalisation, affects the quality
of the solutions provided by Genetic Programming. The
merit of each approach is assessed not only by its
classification accuracy, but also by the ability to
predict the correctness of its own classifications, and
the ability to provide solutions that are human
readable and robust to data inaccuracies. The results
reveal that both approaches achieve high accuracy with
no overfitting, and that Genetic Programming can reveal
some surprises and offer interesting advantages even on
a simple problem so easily tackled by the popular
Classification Trees. Operator Equalisation proved to
be crucial.",
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notes = "EvoIASP'2010 held in conjunction with EuroGP'2010
EvoCOP2010 EvoBIO2010",
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affiliation = "INESC-ID Lisboa, Portugal",
- }
Genetic Programming entries for
Sara Silva
Maria Jose Vasconcelos
Joana B Melo
Citations