Genetic programming based pattern classification with feature space partitioning
Created by W.Langdon from
gp-bibliography.bib Revision:1.7917
- @Article{Kishore:2001:ISJ,
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author = "J. K. Kishore and L. M. Patnaik and V. Mani and
V. K. Agrawal",
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title = "Genetic programming based pattern classification with
feature space partitioning",
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journal = "Information Sciences",
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year = "2001",
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volume = "131",
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number = "1-4",
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pages = "65--86",
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month = jan,
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email = "lalit@micro.iisc.ernet.in",
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keywords = "genetic algorithms, genetic programming",
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ISSN = "0020-0255",
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URL = "http://www.sciencedirect.com/science/article/B6V0C-42MFDYH-4/2/de6209d53f2e0ec0addf0e2cfa62fd91",
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DOI = "doi:10.1016/S0020-0255(00)00081-5",
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size = "22 pages",
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abstract = "Genetic programming (GP) is an evolutionary technique
and is gaining attention for its ability to learn the
underlying data relationships and express them in a
mathematical manner. Although GP uses the same
principles as genetic algorithms, it is a symbolic
approach to program induction; i.e., it involves the
discovery of a highly fit computer program from the
space of computer programs that produces a desired
output when presented with a particular input. We have
successfully applied the GP paradigm for the
n-category pattern classification problem. The
ability of the GP classifier to learn the data
distributions depends upon the number of classes and
the spatial spread of data. As the number of classes
increases, it increases the difficulty for the GP
classifier to resolve between classes. So, there is a
need to partition the feature space and identify
sub-spaces with reduced number of classes. The basic
objective is to divide the feature space into
sub-spaces and hence the data set that contains
representative samples of n classes into sub-data sets
corresponding to the sub-spaces of the feature space,
so that some of the sub-data sets/spaces can have data
belonging to only p-classes (p
notes = "Information Sciences
http://www.elsevier.com/inca/publications/store/5/0/5/7/3/0/505730.pub.htt
GPQUICK",
- }
Genetic Programming entries for
J K Kishore
L M Patnaik
V Mani
V K Agrawal
Citations