Results 281 to 290 of about 137,972 (308)
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2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011
This paper presents a sparse approach of solving the one-sided Procrustes problem with special orthogonal constraint. By leveraging a planar decomposition common to all rotation matrices, a new constraint is introduced into this classical problem in the form of a sparsity-inducing norm.
Alexander Lorbert, Peter J. Ramadge
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This paper presents a sparse approach of solving the one-sided Procrustes problem with special orthogonal constraint. By leveraging a planar decomposition common to all rotation matrices, a new constraint is introduced into this classical problem in the form of a sparsity-inducing norm.
Alexander Lorbert, Peter J. Ramadge
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The generalized lasso is reducible to a subspace constrained lasso
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013We investigate connections between the generalized lasso and the standard lasso problem. We show by an efficient direct construction, that the generalized lasso problem is reducible to a subspace constrained lasso. We then derive the dual of the subspace constrained lasso.
Hao Xu, David J. Eis, Peter J. Ramadge
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IEEE Transactions on Neural Networks, 2004
In the last few years, the support vector machine (SVM) method has motivated new interest in kernel regression techniques. Although the SVM has been shown to exhibit excellent generalization properties in many experiments, it suffers from several drawbacks, both of a theoretical and a technical nature: the absence of probabilistic outputs, the ...
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In the last few years, the support vector machine (SVM) method has motivated new interest in kernel regression techniques. Although the SVM has been shown to exhibit excellent generalization properties in many experiments, it suffers from several drawbacks, both of a theoretical and a technical nature: the absence of probabilistic outputs, the ...
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Computational Statistics & Data Analysis, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sunghoon Kwon, Sangin Lee, Yongdai Kim
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sunghoon Kwon, Sangin Lee, Yongdai Kim
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2021
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?? ???????????? ???????????????? ???????????????????? ?????????????????? ?????????????? ???????????????????? LASSO ?? ?????????????????????????????? ?????????????????? ?????????????????????????? ???????????????? ???????? ?? ???????????? ???????????????? ?????????????????????? (??????????????????????????-?????????????????????? ????????????????) CRA. ????
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The Adaptive Lasso and Its Oracle Properties
Journal of the American Statistical Association, 2006Hui Zou
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Feature Selection for Neural Networks Using Group Lasso Regularization
IEEE Transactions on Knowledge and Data Engineering, 2020Huaqing Zhang +2 more
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Degrees of freedom in lasso problems
Annals of Statistics, 2012Ryan J Tibshirani, Jonathan Taylor
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Generalized LASSO with under-determined regularization matrices
Signal Processing, 2016Junbo Duan +2 more
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