A Grammatical Swarm for Protein Classification
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Ramstein:2008:cec,
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author = "Gerard Ramstein and Nicolas Beaume and
Yannick Jacques",
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title = "A Grammatical Swarm for Protein Classification",
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booktitle = "2008 IEEE World Congress on Computational
Intelligence",
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year = "2008",
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editor = "Jun Wang",
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pages = "2561--2568",
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address = "Hong Kong",
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month = "1-6 " # jun,
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organization = "IEEE Computational Intelligence Society",
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publisher = "IEEE Press",
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isbn13 = "978-1-4244-1823-7",
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file = "EC0587.pdf",
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DOI = "doi:10.1109/CEC.2008.4631142",
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abstract = "We present a Grammatical Swarm (GS) for the
Optimization of an aggregation operator. This combines
the results of several classifiers into a unique score,
producing an optimal ranking of the individuals. We
apply our method to the identification of new members
of a protein family. Support Vector Machine and Naive
Bayes classifiers exploit complementary features to
compute probability estimates. A great advantage of the
GS is that it produces an understandable algorithm
revealing the interest of the classifiers. Due to the
large volume of candidate sequences, ranking quality is
of crucial importance. Consequently, our fitness
criterion is based on the Area Under the ROC Curve
rather than on classification error rate. We discuss
the performances obtained for a particular family, the
cytokines and show that this technique is an efficient
means of ranking the protein sequences.",
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keywords = "genetic algorithms, genetic programming, grammatical
evolution",
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notes = "WCCI 2008 - A joint meeting of the IEEE, the INNS, the
EPS and the IET.",
- }
Genetic Programming entries for
Gerard Ramstein
Nicolas Beaume
Yannick Jacques
Citations