New outcomes in Linear Genetic Programming: Adaptation, Performance and Vapnik-Chervonenkis Dimension of Straight Line Programs
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @InProceedings{Montana:2009:eurogp,
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author = "Jose Luis Montana and Cesar Luis Alonso and
Cruz Enrique Borges and Jose Luis Crespo",
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title = "New outcomes in Linear Genetic Programming:
Adaptation, Performance and {Vapnik-Chervonenkis}
Dimension of Straight Line Programs",
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booktitle = "Proceedings of the 12th European Conference on Genetic
Programming, EuroGP 2009",
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year = "2009",
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editor = "Leonardo Vanneschi and Steven Gustafson and
Alberto Moraglio and Ivanoe {De Falco} and Marc Ebner",
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volume = "5481",
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series = "LNCS",
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pages = "315--326",
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address = "Tuebingen",
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month = apr # " 15-17",
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organisation = "EvoStar",
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming, Linear
Genetic Programming, Vapnik-Chervonenkis dimension.
poster",
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isbn13 = "978-3-642-01180-1",
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DOI = "doi:10.1007/978-3-642-01181-8_27",
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size = "12 pages",
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abstract = "We discuss here empirical comparison between model
selection methods based on Linear Genetic Programming.
Two statistical methods are compared: model selection
based on Empirical Risk Minimisation (ERM) and model
selection based on Structural Risk Minimization (SRM).
For this purpose we have identified the main components
which determine the capacity of some linear structures
as classifiers showing an upper bound for the
Vapnik-Chervonenkis (VC) dimension of classes of
programs representing linear code defined by arithmetic
computations and sign tests. This upper bound is used
to define a fitness based on VC regularisation that
performs significantly better than the fitness based on
empirical risk.",
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notes = "Part of \cite{conf/eurogp/2009} EuroGP'2009 held in
conjunction with EvoCOP2009, EvoBIO2009 and
EvoWorkshops2009",
- }
Genetic Programming entries for
Jose Luis Montana Arnaiz
Cesar Luis Alonso
Cruz Enrique Borges
Jose Luis Crespo Fidalgo
Citations