中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Semi-supervised learning based on high density region estimation

文献类型:期刊论文

作者Chen, Hong1,2; Li, Luoqing1; Peng, Jiangtao3
刊名NEURAL NETWORKS
出版日期2010-09-01
卷号23期号:7页码:812-818
关键词Semi-supervised learning Local risk minimization Density estimation Error analysis Learning rate
英文摘要In this paper, we consider local regression problems on high density regions. We propose a semi-supervised local empirical risk minimization algorithm and bound its generalization error. The theoretical analysis shows that our method can utilize unlabeled data effectively and achieve fast learning rate. (C) 2010 Elsevier Ltd. All rights reserved.
WOS标题词Science & Technology ; Technology ; Life Sciences & Biomedicine
类目[WOS]Computer Science, Artificial Intelligence ; Neurosciences
研究领域[WOS]Computer Science ; Neurosciences & Neurology
关键词[WOS]SUBSPACE INFORMATION CRITERION ; ERROR-BOUNDS ; CLASSIFICATION ; REGULARIZATION ; APPROXIMATION ; DESIGN
收录类别SCI
语种英语
WOS记录号WOS:000281005300004
公开日期2015-12-24
源URL[http://ir.ia.ac.cn/handle/173211/9991]  
专题自动化研究所_智能制造技术与系统研究中心_多维数据分析团队
作者单位1.Hubei Univ, Fac Math & Comp Sci, Wuhan 430062, Peoples R China
2.Huazhong Agr Univ, Coll Sci, Stat Res Inst, Wuhan 430070, Peoples R China
3.Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Chen, Hong,Li, Luoqing,Peng, Jiangtao. Semi-supervised learning based on high density region estimation[J]. NEURAL NETWORKS,2010,23(7):812-818.
APA Chen, Hong,Li, Luoqing,&Peng, Jiangtao.(2010).Semi-supervised learning based on high density region estimation.NEURAL NETWORKS,23(7),812-818.
MLA Chen, Hong,et al."Semi-supervised learning based on high density region estimation".NEURAL NETWORKS 23.7(2010):812-818.

入库方式: OAI收割

来源:自动化研究所

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