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Gaussian networks study undirected interactions between random variables, through the estimation of the precision matrices. Recently, it has been demonstrated that some of the important networks display features similar to scale-free graphs. There have been few works on the learning of the sparse Gaussian graphical models aiming to preserve properties of networks which are believed to be scale-free...
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