Linear-Time Algorithm for Learning Large-Scale Sparse Graphical Models
نویسندگان
چکیده
منابع مشابه
Linear-Time Algorithm for Learning Large-Scale Sparse Graphical Models
The sparse inverse covariance estimation problem is commonly solved using an l1-regularizedGaussian maximum likelihood estimator known as “graphical lasso”, but its computational cost becomes prohibitive for large data sets. A recent line of results showed–under mild assumptions–that the graphical lasso estimator can be retrieved by soft-thresholding the sample covariance matrix and solving a m...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2019
ISSN: 2169-3536
DOI: 10.1109/access.2018.2890583