Construction of classifier with feature selection based on genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Purohit:2010:cec,
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author = "Anuradha Purohit and Narendra S. Chaudhari and
Aruna Tiwari",
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title = "Construction of classifier with feature selection
based on genetic programming",
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booktitle = "IEEE Congress on Evolutionary Computation (CEC 2010)",
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year = "2010",
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address = "Barcelona, Spain",
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month = "18-23 " # jul,
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-1-4244-6910-9",
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abstract = "This paper presents a genetic programming (GP) based
approach for designing classifiers with feature
selection using a modified crossover operator [12]. The
proposed GP methodology simultaneously selects a good
subset of features and constructs a classifier using
the selected features. For a c-class problem, it
provides a classifier having c trees. To overcome the
difficulties with standard crossover operator, we have
used a crossover operator which discovers the best
possible crossover site for a subtree and attains
higher fitness values while processing fewer
individuals. We have tested our method on several
datasets having large number of features. We have
compared the performance of our method with results
available in the literature and found that the proposed
method generates good results.",
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DOI = "doi:10.1109/CEC.2010.5586536",
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notes = "WCCI 2010. Also known as \cite{5586536}",
- }
Genetic Programming entries for
Anuradha Purohit
Narendra S Chaudhari
Aruna Tiwari
Citations