When Is Network Lasso Accurate?
نویسندگان
چکیده
منابع مشابه
When Is Network Lasso Accurate?
The “least absolute shrinkage and selection operator” (Lasso) method has been adapted recently for network-structured datasets. In particular, this network Lasso method allows to learn graph signals from a small number of noisy signal samples by using the total variation of a graph signal for regularization. While efficient and scalable implementations of the network Lasso are available, only l...
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A recently proposed learning algorithm for massive network-structured data sets (big data over networks) is the network Lasso (nLasso), which extends the well- known Lasso estimator from sparse models to network-structured datasets. Efficient implementations of the nLasso have been presented using modern convex optimization methods. In this paper, we provide sufficient conditions on the network...
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ژورنال
عنوان ژورنال: Frontiers in Applied Mathematics and Statistics
سال: 2018
ISSN: 2297-4687
DOI: 10.3389/fams.2017.00028