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Bag of little bootstraps on features for enhancing classification performance

文献类型：期刊论文

作者Wang, Haocheng1,2; Zhuang, Fuzhen2; Jin, Xin3; Ao, Xiang2; He, Qing2
刊名INTELLIGENT DATA ANALYSIS
出版日期2016
卷号20期号:5页码:1085-1099
关键词Ensemble learning bag of little bootstraps on features high-dimensional data classification
ISSN号1088-467X
DOI10.3233/IDA-160857
英文摘要Ensemble learning via manipulating the training set is an effective technique for improving classification accuracy. In this work, we investigate the strategy how to combine learning set resampling method and random subspace method applied in high-dimensional domains. We propose a new procedure, Bag of Little Bootstraps on Features (BLBF), which works by combining the results of bootstrapping multiple feature subsets of the original dataset using the random subspace method. Our empirical experiments on various high-dimensional datasets demonstrate that our proposed approach outperforms the state-of-the-art instance-based resampling learning algorithm BLB and its two relevant variants, in terms of classification performance. In addition, we also investigate the effect of hyperparameters on classification performance, which shows that the parameters can be easily set while maintaining a good performance.
资助项目National Natural Science Foundation of China[91546122] ; National Natural Science Foundation of China[61573335] ; National Natural Science Foundation of China[61473273] ; National Natural Science Foundation of China[61473274] ; National High-tech R&D Program of China (863 Program)[2014AA015105] ; Guangdong provincial science and technology plan projects[2015 B010109005]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000384428500006
出版者IOS PRESS
源URL[http://119.78.100.204/handle/2XEOYT63/8136]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Wang, Haocheng
作者单位1.Univ Chinese Acad Sci, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing, Peoples R China
3.Huawei Technol Co Ltd, Cent Software Inst, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Haocheng,Zhuang, Fuzhen,Jin, Xin,et al. Bag of little bootstraps on features for enhancing classification performance[J]. INTELLIGENT DATA ANALYSIS,2016,20(5):1085-1099.
APA Wang, Haocheng,Zhuang, Fuzhen,Jin, Xin,Ao, Xiang,&He, Qing.(2016).Bag of little bootstraps on features for enhancing classification performance.INTELLIGENT DATA ANALYSIS,20(5),1085-1099.
MLA Wang, Haocheng,et al."Bag of little bootstraps on features for enhancing classification performance".INTELLIGENT DATA ANALYSIS 20.5(2016):1085-1099.

入库方式： OAI收割

来源：计算技术研究所

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