Tarpeian Bloat Control and Generalization Accuracy
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{eurogp:MahlerRF05,
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author = "S{\'e}bastien Mahler and Denis Robilliard and
Cyril Fonlupt",
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editor = "Maarten Keijzer and Andrea Tettamanzi and
Pierre Collet and Jano I. {van Hemert} and Marco Tomassini",
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title = "Tarpeian Bloat Control and Generalization Accuracy",
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booktitle = "Proceedings of the 8th 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 = "3447",
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year = "2005",
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address = "Lausanne, Switzerland",
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month = "30 " # mar # " - 1 " # apr,
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organisation = "EvoNet",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-25436-6",
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pages = "203--214",
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DOI = "doi:10.1007/978-3-540-31989-4_18",
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DOI = "doi:10.1007/b107383",
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bibsource = "DBLP, http://dblp.uni-trier.de",
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abstract = "In this paper we will focus on machine-learning issues
solved with Genetic Programming (GP). Excessive code
growth or bloat often happens in GP , greatly slowing
down the evolution process. Poli proposed the Tarpeian
Control method to reduce bloat, but possible
side-effects of this method on the generalisation
accuracy of GP hypotheses remained to be tested. In
particular, since Tarpeian Control puts a brake on code
growth, it could behave as a kind of Occam's razor,
promoting shorter hypotheses more able to extend their
knowledge to cases apart from any learning steps. To
answer this question, we experiment Tarpeian Control
with symbolic regression. The results are contrasted,
showing that it can either increase or reduce the
generalization power of GP hypotheses, depending on the
problem at hand. This suggest that a blind use of TC is
not safe, but also that a careful parameter setup may
be profitable in some cases.",
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notes = "Part of \cite{keijzer:2005:GP} EuroGP'2005 held in
conjunction with EvoCOP2005 and
EvoWorkshops2005
\cite{poli03}",
- }
Genetic Programming entries for
Sebastien Mahler
Denis Robilliard
Cyril Fonlupt
Citations