Using ensemble feature selection approach in selecting subset with relevant features

被引:0
作者
Attik, Mohammed [1 ]
机构
[1] Inst Natl Rech Informat & Automat Lorraine, LORIA, F-54506 Vandoeuvre Les Nancy, France
来源
ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 1 | 2006年 / 3971卷
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This study discusses the problem of feature selection as one of the most fundamental problems in the field of the machine learning. Two novel approaches for feature selection in order to select a subset with relevant features are proposed. These approaches can be considered as a direct extension of the ensemble feature selection approach. The first one deals with identifying relevant features by using a single feature selection method. While, the second one uses different feature selection methods in order to identify more correctly the relevant features. An illustration shows the effectiveness of the proposed methods on artificial databases where we have a priori the informations about the relevant features.
引用
收藏
页码:1359 / 1366
页数:8
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