Evolving Text Classifiers with Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{hirsch:2004:eurogp,
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author = "Laurence Hirsch and Masoud Saeedi and Robin Hirsch",
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title = "Evolving Text Classifiers with Genetic Programming",
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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 = "309--317",
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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: Poster",
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ISBN = "3-540-21346-5",
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DOI = "doi:10.1007/978-3-540-24650-3_29",
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abstract = "We describe a method for using Genetic Programming
(GP) to evolve document classifiers. GPs create regular
expression type specifications consisting of particular
sequences and patterns of N-Grams (character strings)
and acquire fitness by producing expressions, which
match documents in a particular category but do not
match documents in any other category. Libraries of
N-Gram patterns have been evolved against sets of
pre-categorised training documents and are used to
discriminate between new texts. We describe a basic set
of functions and terminals and provide results from a
categorisation task using the 20 Newsgroup data.",
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notes = "Part of \cite{keijzer:2004:GP} EuroGP'2004 held in
conjunction with EvoCOP2004 and EvoWorkshops2004",
- }
Genetic Programming entries for
Laurence Hirsch
Masoud Saeedi
Robin Hirsch
Citations