Gene expression classification using optimal feature/classifier ensemble with negative correlation

Jungwon Ryu, Sung Bae Cho

Research output: Contribution to conferencePaper

19 Citations (Scopus)

Abstract

In order to predict the cancer class of patients, we have illustrated a classification framework that combines sets of classifiers trained with independent two features. Experimental results show that the feature sets that have negative or non-positive correlations produces very high recognition result.

Original languageEnglish
Pages198-203
Number of pages6
Publication statusPublished - 2002 Jan 1
Event2002 International Joint Conference on Neural Networks (IJCNN '02) - Honolulu, HI, United States
Duration: 2002 May 122002 May 17

Other

Other2002 International Joint Conference on Neural Networks (IJCNN '02)
CountryUnited States
CityHonolulu, HI
Period02/5/1202/5/17

Fingerprint

Gene expression
Classifiers

All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence

Cite this

Ryu, J., & Cho, S. B. (2002). Gene expression classification using optimal feature/classifier ensemble with negative correlation. 198-203. Paper presented at 2002 International Joint Conference on Neural Networks (IJCNN '02), Honolulu, HI, United States.
Ryu, Jungwon ; Cho, Sung Bae. / Gene expression classification using optimal feature/classifier ensemble with negative correlation. Paper presented at 2002 International Joint Conference on Neural Networks (IJCNN '02), Honolulu, HI, United States.6 p.
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Ryu, J & Cho, SB 2002, 'Gene expression classification using optimal feature/classifier ensemble with negative correlation', Paper presented at 2002 International Joint Conference on Neural Networks (IJCNN '02), Honolulu, HI, United States, 02/5/12 - 02/5/17 pp. 198-203.

Gene expression classification using optimal feature/classifier ensemble with negative correlation. / Ryu, Jungwon; Cho, Sung Bae.

2002. 198-203 Paper presented at 2002 International Joint Conference on Neural Networks (IJCNN '02), Honolulu, HI, United States.

Research output: Contribution to conferencePaper

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Ryu J, Cho SB. Gene expression classification using optimal feature/classifier ensemble with negative correlation. 2002. Paper presented at 2002 International Joint Conference on Neural Networks (IJCNN '02), Honolulu, HI, United States.