Browsing Department of Aeronautics and Astronautics by Subject "Gaussian Graphical Models"
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Learning Sparse Gaussian Graphical Model with l0-regularization
(2014-08-22)For the problem of learning sparse Gaussian graphical models, it is desirable to obtain both sparse structures as well as good parameter estimates. Classical techniques, such as optimizing the l1-regularized maximum ...