Iterative Filter Generation using Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{eurogp06:SegondRobilliardFonlupt,
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author = "Marc Segond and Denis Robilliard and Cyril Fonlupt",
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title = "Iterative Filter Generation using Genetic
Programming",
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editor = "Pierre Collet and Marco Tomassini and Marc Ebner and
Steven Gustafson and Anik\'o Ek\'art",
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booktitle = "Proceedings of the 9th European Conference on Genetic
Programming",
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publisher = "Springer",
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series = "Lecture Notes in Computer Science",
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volume = "3905",
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year = "2006",
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address = "Budapest, Hungary",
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month = "10 - 12 " # apr,
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organisation = "EvoNet",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-33143-3",
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pages = "145--153",
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DOI = "doi:10.1007/11729976_13",
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bibsource = "DBLP, http://dblp.uni-trier.de",
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abstract = "Oceanographers from the IFREMER institute have an
hypothesis that the presence of so-called retentive
meso-scale vortices in ocean and coastal waters could
have an influence on watery fauna's demography. Up to
now, identification of retentive hydro-dynamical
structures on stream maps has been performed by experts
using background knowledge about the area. We tackle
this task with filters induced by Genetic Programming,
a technique that has already been successfully used in
pattern matching problems. To overcome specific
difficulties associated with this problem, we introduce
a refined scheme that iterates the filters
classification phase while giving them access to a
memory of their previous decisions. These iterative
filters achieve superior results and are compared to a
set of other methods.",
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notes = "Part of \cite{collet:2006:GP} EuroGP'2006 held in
conjunction with EvoCOP2006 and EvoWorkshops2006",
- }
Genetic Programming entries for
Marc Segond
Denis Robilliard
Cyril Fonlupt
Citations