中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Extensive semi-quantitative regression

文献类型:期刊论文

作者Shao, Yuan-Hai1; Ye, Ya-Fen1; Wang, Yong-Cui2; Deng, Nai-Yang3
刊名neurocomputing
出版日期2016-12-19
卷号218页码:26-36
关键词Machine learning Regression Extensive semi-quantitative regression Support vector machines Laplacian graph
英文摘要in 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.
WOS标题词science & technology ; technology
类目[WOS]computer science, artificial intelligence
研究领域[WOS]computer science
关键词[WOS]support vector regression ; extreme learning-machine ; kernel approximation ; knowledge ; framework
收录类别SCI
语种英语
WOS记录号WOS:000388053700004
源URL[http://ir.nwipb.ac.cn/handle/363003/6674]  
专题西北高原生物研究所_中国科学院西北高原生物研究所
作者单位1.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
推荐引用方式
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.

入库方式: OAI收割

来源:西北高原生物研究所

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