A Gene Expression Programming Algorithm for Multi-Label Classification

被引：0

作者：

Avila, J. L. ^{[1
]}

Gibaja, E. L. ^{[1
]}

Zafra, A. ^{[1
]}

Ventura, S. ^{[1
]}

机构：

[1] Univ Cordoba, Dept Comp Sci & Numer Anal, E-14071 Cordoba, Spain

来源：

JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING | 2011年 / 17卷 / 2-3期

关键词：

Multi-label classification; discriminant functions; gene expression programming; machine learning; STATISTICAL COMPARISONS; CLASSIFIERS;

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 paper presents a Gene Expression Programming algorithm for multi-label classification which encodes a discriminant function into each individual to show whether a pattern belongs to a given class or not. The algorithm also applies a niching technique to guarantee that the population includes functions for each existing class. The algorithm has been compared to other recently published algorithms. The results found on several datasets demonstrate the feasibility of this approach in the tackling of multi-label problems.

引用

页码：183 / 206

页数：24

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