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
收藏
页码：1193 / 1200
页数：8
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