LEAST ABSOLUTE DEVIATIONS LEARNING OF MULTIPLE TASKS
文献类型:期刊论文
作者 | Xue, Wei1,2![]() ![]() |
刊名 | JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION
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出版日期 | 2018-04-01 |
卷号 | 14期号:2页码:719-729 |
关键词 | Multitask learning feature selection least absolute deviations alternating direction method l(1) regularization |
ISSN号 | 1547-5816 |
DOI | 10.3934/jimo.2017071 |
通讯作者 | Xue, Wei(cswxue@ahut.edu.cn) |
英文摘要 | In this paper, we propose a new multitask feature selection model based on least absolute deviations. However, due to the inherent nonsmoothness of l(1) norm, optimizing this model is challenging. To tackle this problem efficiently, we introduce an alternating iterative optimization algorithm. Moreover, under some mild conditions, its global convergence result could be established. Experimental results and comparison with the state-of-the-art algorithm SLEP show the efficiency and effectiveness of the proposed approach in solving multitask learning problems. |
WOS关键词 | ALTERNATING DIRECTION METHOD ; SELECTION |
资助项目 | NSFC[61305018] ; NSFC[61432008] ; NSFC[61472423] ; NSFC[61532006] ; NSFC[61262026] ; NSFC[11661007] ; Major Technologies R & D Special Program of Anhui, China[16030901060] ; NCET Programm of the Ministry of Education[NCET 13-0738] ; JGZX programm of Jiangxi Province[20112BCB23027] ; Natural Science Foundation of Jiangxi Province[20132BAB201-026] ; Science and Technology Programm of Jiangxi Education Committee[LDJH12-088] |
WOS研究方向 | Engineering ; Operations Research & Management Science ; Mathematics |
语种 | 英语 |
WOS记录号 | WOS:000438846500018 |
出版者 | AMER INST MATHEMATICAL SCIENCES-AIMS |
资助机构 | NSFC ; Major Technologies R & D Special Program of Anhui, China ; NCET Programm of the Ministry of Education ; JGZX programm of Jiangxi Province ; Natural Science Foundation of Jiangxi Province ; Science and Technology Programm of Jiangxi Education Committee |
源URL | [http://ir.ia.ac.cn/handle/173211/26334] ![]() |
专题 | 精密感知与控制研究中心_人工智能与机器学习 |
通讯作者 | Xue, Wei |
作者单位 | 1.Anhui Univ Technol, Sch Comp Sci & Technol, Maanshan 243032, Peoples R China 2.Nanjing Univ Sci & Technol, Sch Comp Sci & Engn, Nanjing 210094, Jiangsu, Peoples R China 3.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 4.Gannan Normal Univ, Sch Math & Comp Sci, Ganzhou 341000, Peoples R China |
推荐引用方式 GB/T 7714 | Xue, Wei,Zhang, Wensheng,Yu, Gaohang. LEAST ABSOLUTE DEVIATIONS LEARNING OF MULTIPLE TASKS[J]. JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION,2018,14(2):719-729. |
APA | Xue, Wei,Zhang, Wensheng,&Yu, Gaohang.(2018).LEAST ABSOLUTE DEVIATIONS LEARNING OF MULTIPLE TASKS.JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION,14(2),719-729. |
MLA | Xue, Wei,et al."LEAST ABSOLUTE DEVIATIONS LEARNING OF MULTIPLE TASKS".JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION 14.2(2018):719-729. |
入库方式: OAI收割
来源:自动化研究所
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