Using genetic programming for context-sensitive feature scoring in classification problems
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Article{journals/connection/NeshatianZ11,
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author = "Kourosh Neshatian and Mengjie Zhang",
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title = "Using genetic programming for context-sensitive
feature scoring in classification problems",
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journal = "Connection Science",
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year = "2011",
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number = "3",
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volume = "23",
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pages = "183--207",
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month = sep,
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keywords = "genetic algorithms, genetic programming, feature
scoring, feature ranking, feature selection,
classification",
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URL = "http://www.tandfonline.com/doi/abs/10.1080/09540091.2011.630065",
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URL = "http://www.tandfonline.com/doi/pdf/10.1080/09540091.2011.630065",
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DOI = "doi:10.1080/09540091.2011.630065",
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size = "25 pages",
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abstract = "Feature scoring is an avenue to feature selection that
provides a measure of usefulness for the individual
features of a classification task. Features are ranked
based on their scores and selection is performed by
choosing a small group of high-ranked features. Most
existing feature scoring/ranking methods focus on the
relevance of a single feature to the class labels
regardless of the role of other features
(context-insensitive). The paper proposes a genetic
programming (GP)-based method to see how a set of
features can contribute towards discriminating
different classes. The features receive score in the
context of other features participating in a GP
program. The scoring mechanism is based on the
frequency of appearance of each feature in a collection
of GP programs and the fitness of those programs. Our
results show that the proposed feature ranking method
can detect important features of a problem. A variety
of different classifiers restricted to just a few of
these high-ranked features work well. The proposed
scoring-ranking mechanism can also shrink the search
space of size O(2 n ) of subsets of features to a
search space of size O(n) in which there are points
that are very likely to improve the classification
performance.",
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bibdate = "2011-12-01",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/journals/connection/connection23.html#NeshatianZ11",
- }
Genetic Programming entries for
Kourosh Neshatian
Mengjie Zhang
Citations