Knowledge Management System of Northwest Institute of Plateau Biology, CAS
Extensive semi-quantitative regression | |
Shao, Yuan-Hai1; Ye, Ya-Fen1; Wang, Yong-Cui2; Deng, Nai-Yang3 | |
2016-12-19 | |
发表期刊 | NEUROCOMPUTING |
卷号 | 218页码:26-36 |
文章类型 | Article |
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. |
关键词 | Machine Learning Regression Extensive Semi-quantitative Regression Support Vector Machines Laplacian Graph |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1016/j.neucom.2016.08.073 |
关键词[WOS] | SUPPORT VECTOR REGRESSION ; EXTREME LEARNING-MACHINE ; KERNEL APPROXIMATION ; KNOWLEDGE ; FRAMEWORK |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | National 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研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence |
WOS记录号 | WOS:000388053700004 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://210.75.249.4/handle/363003/6674 |
专题 | 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. |
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