Partly adaptive elastic net and its application to microarray classification

被引：25

作者：

Li, Juntao ^{[1
]}

Jia, Yingmin ^{[2
]}

Zhao, Zhihua ^{[1
]}

机构：

[1] Henan Normal Univ, Coll Math & Informat Sci, Xingxiang 453007, Peoples R China

[2] Beihang Univ BUAA, Res Div 7, Beijing 100191, Peoples R China

来源：

NEURAL COMPUTING & APPLICATIONS | 2013年 / 22卷 / 06期

关键词：

Partly adaptive elastic net; Microarray classification; Gene selection; Pathwise coordinate descent; FEATURE-SELECTION; MODEL SELECTION; REGRESSION; CANCER; REGULARIZATION;

D O I：

10.1007/s00521-012-0885-6

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a new extension of the elastic net for simultaneous gene selection and microarray classification. By introducing the proper data-driven weights to the penalty terms, the partly adaptive elastic net is proposed, which can encourage an adaptive grouping effect and reduce the influence of the wrong initial estimation. A fast-solving algorithm is also developed in the line of pathwise coordinate descent. Experiments performed on the two cancer data sets are provided to verify the obtained results.

引用

页码：1193 / 1200

页数：8

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