Identifying the neuroanatomical basis of cognitive impairment in Alzheimer's disease by correlation- and nonlinearity-aware sparse Bayesian learning.
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Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease.Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data.Cortical surface biomarkers for predicting cognitive outcomes using group l2,1 norm.Linearized and Kernelized Sparse Multitask Learning for Predicting Cognitive Outcomes in Alzheimer's Disease.
P2860
Identifying the neuroanatomical basis of cognitive impairment in Alzheimer's disease by correlation- and nonlinearity-aware sparse Bayesian learning.
description
2014 nî lūn-bûn
@nan
2014 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Identifying the neuroanatomica ...... ware sparse Bayesian learning.
@ast
Identifying the neuroanatomica ...... ware sparse Bayesian learning.
@en
type
label
Identifying the neuroanatomica ...... ware sparse Bayesian learning.
@ast
Identifying the neuroanatomica ...... ware sparse Bayesian learning.
@en
prefLabel
Identifying the neuroanatomica ...... ware sparse Bayesian learning.
@ast
Identifying the neuroanatomica ...... ware sparse Bayesian learning.
@en
P2093
P2860
P356
P1476
Identifying the neuroanatomica ...... ware sparse Bayesian learning.
@en
P2093
Bhaskar D Rao
Jingwen Yan
Shiaofen Fang
Zhilin Zhang
P2860
P304
P356
10.1109/TMI.2014.2314712
P407
P577
2014-04-01T00:00:00Z