Sparse Multivariate Autoregressive Modeling for Mild Cognitive Impairment Classification | |
Li, Yang; Wee, Chong-Yaw; Jie, Biao; Peng, Ziwen; Shen, Dinggang | |
刊名 | NEUROINFORMATICS
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2014 | |
卷号 | 12页码:455-469 |
关键词 | Effective connectivity Functional magnetic resonance imaging (fMRI) Mild cognitive impairment (MCI) Orthogonal least squares (OLS) Sparse multivariate autoregressive (MAR) model Support vectormachines (SVMs) |
ISSN号 | 1539-2791 |
DOI | 10.1007/s12021-014-9221-x |
URL标识 | 查看原文 |
收录类别 | SCIE |
WOS记录号 | WOS:000339801300009 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/6560152 |
专题 | 北京航空航天大学 |
推荐引用方式 GB/T 7714 | Li, Yang,Wee, Chong-Yaw,Jie, Biao,et al. Sparse Multivariate Autoregressive Modeling for Mild Cognitive Impairment Classification[J]. NEUROINFORMATICS,2014,12:455-469. |
APA | Li, Yang,Wee, Chong-Yaw,Jie, Biao,Peng, Ziwen,&Shen, Dinggang.(2014).Sparse Multivariate Autoregressive Modeling for Mild Cognitive Impairment Classification.NEUROINFORMATICS,12,455-469. |
MLA | Li, Yang,et al."Sparse Multivariate Autoregressive Modeling for Mild Cognitive Impairment Classification".NEUROINFORMATICS 12(2014):455-469. |
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