CASIA OpenIR  > 智能制造技术与系统研究中心  > 多维数据分析
Error bounds of multi-graph regularized semi-supervised classification
Chen, Hong1; Li, Luoqing1; Peng, Jiangtao2
Source PublicationINFORMATION SCIENCES
2009-05-30
Volume179Issue:12Pages:1960-1969
SubtypeArticle
AbstractIn this paper, we investigate the generalization performance of the multi-graph regularized semi-supervised classification algorithm associated with the hinge loss. We provide estimates for the excess misclassification error of multi-graph regularized classifiers and show the relations between the generalization performance and the structural invariants of data graphs. Experiments performed on real database demonstrate the effectiveness of our theoretical analysis. (c) 2009 Elsevier Inc. All rights reserved.
KeywordSemi-supervised Learning Tikhonov Regularization Reproducing Kernel Hilbert Space Rademacher Complexity Graph Laplacian
WOS HeadingsScience & Technology ; Technology
WOS KeywordCLASSIFIERS
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems
WOS IDWOS:000265968100013
Citation statistics
Cited Times:27[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9974
Collection智能制造技术与系统研究中心_多维数据分析
Affiliation1.Hubei Univ, Fac Math & Comp Sci, Wuhan 430062, Peoples R China
2.Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Chen, Hong,Li, Luoqing,Peng, Jiangtao. Error bounds of multi-graph regularized semi-supervised classification[J]. INFORMATION SCIENCES,2009,179(12):1960-1969.
APA Chen, Hong,Li, Luoqing,&Peng, Jiangtao.(2009).Error bounds of multi-graph regularized semi-supervised classification.INFORMATION SCIENCES,179(12),1960-1969.
MLA Chen, Hong,et al."Error bounds of multi-graph regularized semi-supervised classification".INFORMATION SCIENCES 179.12(2009):1960-1969.
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