Author:
Wang Beilun,Zhang Jiaqi,Xu Haoqing,Tao Te
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications
Reference43 articles.
1. Model selection through sparse maximum likelihood estimation for multivariate gaussian or binary data;Banerjee;J. Mach. Learn. Res.,2008
2. Testing for differences in gaussian graphical models: applications to brain connectivity;Belilovsky,2016
3. Bickel, P.J., & Levina, E. (2008). Covariance regularization by thresholding. Ann. Stat., (pp. 2577–2604).
4. Convex optimization;Boyd,2004
5. A constrained l1 minimization approach to sparse precision matrix estimation;Cai;J. Am. Stat. Assoc.,2011
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