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2014 Multinomial Regression with Elastic Net Penalty and Its Grouping Effect in Gene Selection
Liuyuan Chen, Jie Yang, Juntao Li, Xiaoyu Wang
Abstr. Appl. Anal. 2014(SI43): 1-7 (2014). DOI: 10.1155/2014/569501

Abstract

For the multiclass classification problem of microarray data, a new optimization model named multinomial regression with the elastic net penalty was proposed in this paper. By combining the multinomial likeliyhood loss and the multiclass elastic net penalty, the optimization model was constructed, which was proved to encourage a grouping effect in gene selection for multiclass classification.

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Liuyuan Chen. Jie Yang. Juntao Li. Xiaoyu Wang. "Multinomial Regression with Elastic Net Penalty and Its Grouping Effect in Gene Selection." Abstr. Appl. Anal. 2014 (SI43) 1 - 7, 2014. https://doi.org/10.1155/2014/569501

Information

Published: 2014
First available in Project Euclid: 2 October 2014

zbMATH: 07022629
MathSciNet: MR3193521
Digital Object Identifier: 10.1155/2014/569501

Rights: Copyright © 2014 Hindawi

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Vol.2014 • No. SI43 • 2014
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