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Extensive semi-quantitative regression
Shao, Yuan-Hai1; Ye, Ya-Fen1; Wang, Yong-Cui2; Deng, Nai-Yang3
2016-12-19
Source PublicationNEUROCOMPUTING
Volume218Pages:26-36
SubtypeArticle
AbstractIn this paper, we propose and solve a new machine learning problem called the extensive semi-quantitative regression, where the information about some target values is incomplete; we only know their lower bounds and/or upper bounds instead of their exact values. To employ the information efficiently in extensive semi-quantitative regression, we introduce a local graph to capture the geometric structure for the samples with the exact target values and the target bounds, and construct a graph-based support vector regressor, called ESQ-SVR. The efficiency of our ESQ-SVR is supported by the results of preliminary experiments conducted on both the artificial and real world datasets. (C) 2016 Elsevier B.V. All rights reserved.
KeywordMachine Learning Regression Extensive Semi-quantitative Regression Support Vector Machines Laplacian Graph
WOS HeadingsScience & Technology ; Technology
DOI10.1016/j.neucom.2016.08.073
WOS KeywordSUPPORT VECTOR REGRESSION ; EXTREME LEARNING-MACHINE ; KERNEL APPROXIMATION ; KNOWLEDGE ; FRAMEWORK
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(11201426 ; Zhejiang Provincial Natural Science Foundation of China(LY15F030013 ; Ministry of Education, Humanities and Social Sciences Research Project of China(13YJC910011) ; 11671396 ; LQ13F030010 ; 11371365) ; LQ14G010004)
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000388053700004
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://210.75.249.4/handle/363003/6674
Collection中国科学院西北高原生物研究所
Affiliation1.Zhejiang Univ Technol, Zhijiang Coll, Hangzhou 310024, Zhejiang, Peoples R China
2.Chinese Acad Sci, Northwest Inst Plateau Biol, Key Lab Adaptat & Evolut Plateau Biota, Xining 810001, Peoples R China
3.China Agr Univ, Coll Sci, Beijing 100083, Peoples R China
Recommended Citation
GB/T 7714
Shao, Yuan-Hai,Ye, Ya-Fen,Wang, Yong-Cui,et al. Extensive semi-quantitative regression[J]. NEUROCOMPUTING,2016,218:26-36.
APA Shao, Yuan-Hai,Ye, Ya-Fen,Wang, Yong-Cui,&Deng, Nai-Yang.(2016).Extensive semi-quantitative regression.NEUROCOMPUTING,218,26-36.
MLA Shao, Yuan-Hai,et al."Extensive semi-quantitative regression".NEUROCOMPUTING 218(2016):26-36.
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