- author = "Tomoyuki Hiroyasu and Toshihide Shiraishi and Tomoya Yoshida and Utako Yamamoto",
- booktitle = "IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2014)",
- title = "A Feature Transformation Method using Genetic Programming for Two-Class Classification",
- year = "2014",
- month = dec,
- pages = "234--240",
- keywords = "genetic algorithms, genetic programming",
-
DOI = "
doi:10.1109/CIDM.2014.7008673",
- size = "7 pages",
- abstract = "In this paper, a feature transformation method for two-class classification using genetic programming (GP) is proposed. GP derives a transformation formula to improve the classification accuracy of Support Vector Machine, SVM. In this paper, we propose a weight function to evaluate converted feature space and the proposed function is used to evaluate the function of GP. In the proposed function, the ideal two-class distribution of items is assumed and the distance between the actual and ideal distributions is calculated. The weight is imposed to these distances. To examine the effectiveness of the proposed function, a numerical experiment was performed. In the experiment, as the result, the classification accuracy of the proposed method showed the better result than that of the existing method.",
-
notes = "Fac. of Life & Med. Sci., Doshisha Univ., Kyotanabe,
Japan
Also known as \cite{7008673}",
