.png){kind=icon}
返回
Fuzzy kernel feature selection with multi-objective differential evolution algorithm
.png){kind=icon}
PRE
AI
DOI：10.1080/09540091.2019.1639624.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper, we propose a multi-objective differential evolution-based filter approach for feature selection that interconnects fuzzy- and kernel-based information theory measures to find feature subsets that are optimal responses to the targets. In contrast to the existing filter approaches using the principles of information theory and rough set theory, our approach can be applied to continuous datasets without discretisation. Moreover, our study is the first in the literature that employs fuzzy and kernel measures to form a filter criterion for feature selection, to our knowledge. We prove various favourable results using a variety of benchmark datasets and also demonstrate that our approach can better search the dimensionality space to reach maximum predictive of the response.
Keyword:
Kernel space
fuzzy information theory
multi-objective optimisation
differential evolution
feature selection
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.4
论文数:
854
被引数:
1.5K
机构
引用论文
Multi-Objective Particle Swarm Optimization Approach for Cost-Based Feature Selection in Classification基于代价的多目标粒子群算法在分类特征选择中的应用
PREAI
分享收藏A novel hybrid genetic algorithm with granular information for feature selection and optimization一种基于粒度信息的特征选择与优化混合遗传算法
PREAI
分享收藏Particle robotics based on statistical mechanics of loosely coupled components基于松散耦合构件统计力学的粒子机器人技术.png)
Nature
NatureIF0
PREAI
分享收藏
Physiological and behavioral responses to corticotropin-releasing factor administration: is CRF a mediator of anxiety or stress responses?促肾上腺皮质激素释放因子的生理和行为反应: CRF是焦虑或应激反应的中介物吗？
PREAI
分享收藏分享收藏
查看更多内容