A Feature Transformation Method using Multiobjective Genetic Programming for Two-Class Classification
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{Tomoyuki:2015:CEC,
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author = "Hiroyasu Tomoyuki and Shiraishi Toshihide and
Yoshida Tomoya and Yamamoto Utako",
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title = "A Feature Transformation Method using Multiobjective
Genetic Programming for Two-Class Classification",
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booktitle = "Proceedings of 2015 IEEE Congress on Evolutionary
Computation (CEC 2015)",
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year = "2015",
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editor = "Yadahiko Murata",
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pages = "2989--2995",
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address = "Sendai, Japan",
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month = "25-28 " # may,
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-1-4799-7491-7",
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DOI = "doi:10.1109/CEC.2015.7257261",
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abstract = "In this paper, we investigate a method of performing
feature transformation on input data in a 1-dimensional
space in order to increase the accuracy of classifiers.
Through optimized feature transformation, it is
possible to create data which generate the models with
high accuracy than the original data. We use Genetic
Programming (GP) to find a feature transformation
function. We proposed evaluation functions using GP and
have been successful in finding transformation
functions with a high degree of accuracy. On the other
hand, where there is a deviation in the number of data
items belonging to multiple classes, classes with a
large number of data items are more accurate than those
that do not. In order to resolve this, referring to
existing research, we examined a method of handling the
problem of improving accuracy and correcting class
imbalanced accuracy from the generated models based on
multi-purpose optimization. We then investigated the
method of multi-purpose optimization and how to
determine the threshold for classification. The results
of the investigation were that we could obtain a
transformation function that was more accurate and
could consider the accuracy of multiple classes
simultaneously.",
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notes = "1320 hrs 15569 CEC2015",
- }
Genetic Programming entries for
Tomoyuki Hiroyasu
Toshihide Shiraishi
Tomoya Yoshida
Utako Yamamoto
Citations