A Hybrid Genetic Programming and Boosting Technique for Learning Kernel Functions from Training Data
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{conf/synasc/GirdeaC07,
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author = "Marta Girdea and Liviu Ciortuz",
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title = "A Hybrid Genetic Programming and Boosting Technique
for Learning Kernel Functions from Training Data",
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booktitle = "Proceedings of the Ninth International Symposium on
Symbolic and Numeric Algorithms for Scientific
Computing, SYNASC 2007",
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year = "2007",
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editor = "Viorel Negru and Tudor Jebelean and Dana Petcu and
Daniela Zaharie",
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pages = "395--402",
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address = "Timisoara, Romania",
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month = sep # " 26-29",
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publisher = "IEEE Computer Society",
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keywords = "genetic algorithms, genetic programming, InfoBoost
procedure, RBF kernel function learning, boosting
technique, nonlinear SVM classification, training data,
learning (artificial intelligence), pattern
classification, radial basis function networks, support
vector machines",
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isbn13 = "978-0-7695-3078-9",
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DOI = "doi:10.1109/SYNASC.2007.71",
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size = "8 pages",
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abstract = "This paper proposes a technique for learning kernel
functions that can be used in non-linear SVM
classification. The technique uses genetic programming
to evolve kernel functions as additive or
multiplicative combinations of linear, polynomial and
RBF kernels, while a procedure inspired from InfoBoost
helps the evolved kernels concentrate on the most
difficult objects to classify. The kernels obtained at
each boosting round participate in the training of
non-linear SVMs which are combined, along with their
confidence coefficients, into a final classifier. We
compared on several data sets the performance of the
kernels obtained in this manner with the performance of
classic RBF kernels and of kernels evolved using a pure
GP method, and we concluded that the boosted GP kernels
are generally better.",
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notes = "'Alexandru loan Cuza' Univ. of Iasi, Iasi",
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bibdate = "2008-11-28",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/synasc/synasc2007.html#GirdeaC07",
- }
Genetic Programming entries for
Marta Girdea
Liviu Ciortuz
Citations