Automatically evolving rule induction algorithms tailored to the prediction of postsynaptic activity in proteins
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{pappa:2009a,
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author = "Gisele L. Pappa and Alex A. Freitas",
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title = "Automatically evolving rule induction algorithms
tailored to the prediction of postsynaptic activity in
proteins",
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journal = "Intelligent Data Analysis",
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year = "2009",
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volume = "13",
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number = "2",
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pages = "243--259",
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keywords = "genetic algorithms, genetic programming, Rule
induction algorithms, genetic programming, postsynaptic
proteins, classification",
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ISSN = "1088-467X",
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broken = "http://iospress.metapress.com/content/b72u26327p8720m8/?p=279e0bf5ba1444439e3158730223ce36&pi=4",
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URL = "https://kar.kent.ac.uk/id/eprint/24096",
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DOI = "doi:10.3233/IDA-2009-0366",
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size = "17 pages",
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abstract = "It is well-known that no classification algorithm is
the best in all application domains. The conventional
approach for coping with this problem consists of
trying to select the best classification algorithm for
the target application domain. We propose a refreshing
departure from this approach, consisting of
automatically creating a rule induction algorithm
tailored to the target application domain. This work
proposes a grammar-based genetic programming (GGP)
system to perform 'algorithm construction'. The GGP is
used to build a complete rule induction algorithm
tailored to 5 well-known UCI data sets and a protein
data set, where the goal is to predict whether or not a
protein presents postsynaptic activity. The results
show that the rule induction algorithms automatically
constructed by the GGP are competitive with well-known
human-designed rule induction algorithms. Moreover, in
the postsynaptic case study, the GGP was more
successful than the human-designed algorithms in
discovering accurate rules predicting the minority
class whose prediction is more difficult and tends to
be more important to the user than the prediction of
the majority class.",
- }
Genetic Programming entries for
Gisele L Pappa
Alex Alves Freitas
Citations