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Elastic-net regularization in learning theory (Q1023403)

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Language	Label	Description	Also known as
English	Elastic-net regularization in learning theory	scientific article

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scholarly article

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Elastic-net regularization in learning theory (English)

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Christine De Mol

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Ernesto De Vito

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Lorenzo Rosasco

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Journal of Complexity

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publication date

11 June 2009

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full work available at URL

https://arxiv.org/abs/0807.3423

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http://hdl.handle.net/1721.1/96186

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zbMATH Keywords

sparse regression estimation

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learning

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regularisation

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sparsity

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elastic net

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describes a project that uses

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MaRDI profile type

MaRDI publication profile

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The Dantzig selector: statistical estimation when \(p\) is much larger than \(n\). (With discussions and rejoinder).

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Feature selection for high-dimensional data

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A Sparsity-Enforcing Method for Learning Face Features

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Atomic Decomposition by Basis Pursuit

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Sparsity in penalized empirical risk minimization

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Asymptotics for Lasso-type estimators.

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Aggregation and Sparsity Via ℓ1 Penalized Least Squares

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Adaptive estimation with soft thresholding penalties

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Classifiers of support vector machine type with \(\ell_1\) complexity regularization

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Best subset selection, persistence in high-dimensional statistical learning and optimization under \(l_1\) constraint

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High-dimensional generalized linear models and the lasso

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Least angle regression. (With discussion)

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An iterative thresholding algorithm for linear inverse problems with a sparsity constraint

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Regularization and Variable Selection Via the Elastic Net

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Model Selection and Estimation in Regression with Grouped Variables

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Recovery Algorithms for Vector-Valued Data with Joint Sparsity Constraints

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Approximation and learning by greedy algorithms

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Regularization without preliminary knowledge of smoothness and error behaviour

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On Learning Vector-Valued Functions

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VECTOR VALUED REPRODUCING KERNEL HILBERT SPACES OF INTEGRABLE FUNCTIONS AND MERCER THEOREM

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Weak convergence and empirical processes. With applications to statistics

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Optimum bounds for the distributions of martingales in Banach spaces

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Sums and Gaussian vectors

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Remarks on Inequalities for Large Deviation Probabilities

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On a Problem of Adaptive Estimation in Gaussian White Noise

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On the Adaptive Selection of the Parameter in Regularization of Ill-Posed Problems

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Learning theory estimates via integral operators and their approximations

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On regularization algorithms in learning theory

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Optimal rates for the regularized least-squares algorithm

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Identifiers

zbMATH Open document ID

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10.1016/j.jco.2009.01.002

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Mathematics Subject Classification ID

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zbMATH DE Number

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Sitelinks

Mathematics(1 entry)

mardi Publication:1023403

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