Feature selection based on bagging ensemble learning algorithm | |
Yan, Wang; Li, Wei Juan; Li, Rui; Wang, Xuyang | |
2009 | |
关键词 | Decision tables Feature extraction Learning systems Bagging Classification rules Count measure Ensemble learning Ensemble learning algorithm Generalization ability |
卷号 | 2009 |
期号 | 562 CP |
DOI | 10.1049/cp.2009.2058 |
页码 | 734-736 |
英文摘要 | Generalization ability is a principal issue in the field of machine learning. Feature selection is a method that can improve generalization ability of learning algorithm. Through measuring feature count measure (FCM)decision table, select the feature which depended strongly on classification attribute. Based on the above, Feature count measure based bagging ensemble learning algorithm is proposed. Experiment results show that the proposed algorithm is effective to obtain classification rule. |
会议录 | IET Conference Publications
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会议录出版者 | Institution of Engineering and Technology |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.lut.edu.cn/handle/2XXMBERH/116626] ![]() |
专题 | 计算机与通信学院 兰州理工大学 |
作者单位 | College of Computer and Communication, Lanzhou University of Technology, Lanzhou, Gansu 730050, China |
推荐引用方式 GB/T 7714 | Yan, Wang,Li, Wei Juan,Li, Rui,et al. Feature selection based on bagging ensemble learning algorithm[C]. 见:. |
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