Elastic net regularization

Known as: Elastic Net, The Elastic Net 
In statistics and, in particular, in the fitting of linear or logistic regression models, the elastic net is a regularized regression method that… (More)
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2017
2017
In this paper, we aim at learning compact and discriminative linear regression models. Linear regression has been widely used in… (More)
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2016
2016
Kernelized elastic net regularization (KENReg) is a kernelization of the well-known elastic net regularization (Zou & Hastie… (More)
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2016
2016
In this paper, inspired by sparse principal component analysis (SPCA) via the elastic net regularization, we propose a new… (More)
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2015
2015
We extend previous work on efficiently training linear model s by applying stochastic updates to non-zero features only, lazily… (More)
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2015
2015
Learning a low-dimensional structure plays an important role in computer vision. Recently, a new family of methods, such as l1… (More)
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2014
2014
Dictionary learning plays a key role in image representation for classification. A multi-modal dictionary is usually learned from… (More)
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2012
2012
Elastic-net regularization is a successful approach in statistical modeling. It can avoid large variations which occur in… (More)
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2012
2012
This paper considers the problem of recovering a low-rank matrix from a small number of measurements consisting of linear… (More)
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Highly Cited
2009
Highly Cited
2009
Within the framework of statistical learning theory we analyze in detail the so-called elastic-net regularization scheme proposed… (More)
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2009
2009
This paper investigates theoretical properties and efficient numerical algorithms for the so-called elastic-net regularization… (More)
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