Results 1 to 10 of about 49,097 (158)

Elastic Net Regularization Paths for All Generalized Linear Models [PDF]

Journal of Statistical Software, 2023
The lasso and elastic net are popular regularized regression models for supervised learning. Friedman, Hastie, and Tibshirani (2010) introduced a computationally efficient algorithm for computing the elastic net regularization path for ordinary least ...
J. Kenneth Tay, Balasubramanian Narasimhan, Trevor Hastie   +2 more
doaj   +2 more sources

A Robust Variable Selection Method for Sparse Online Regression via the Elastic Net Penalty

Mathematics, 2022
Variable selection has been a hot topic, with various popular methods including lasso, SCAD, and elastic net. These penalized regression algorithms remain sensitive to noisy data.
Wentao Wang, Jiaxuan Liang, Rong Liu, Yunquan Song, Min Zhang   +4 more
doaj   +3 more sources

The Higher-Order of Adaptive Lasso and Elastic Net Methods for Classification on High Dimensional Data

Mathematics, 2021
The lasso and elastic net methods are the popular technique for parameter estimation and variable selection. Moreover, the adaptive lasso and elastic net methods use the adaptive weights on the penalty function based on the lasso and elastic net ...
Autcha Araveeporn
doaj   +3 more sources

Elastic-net regularization in learning theory

Journal of Complexity, 2009
Within the framework of statistical learning theory we analyze in detail the so-called elastic-net regularization scheme proposed by Zou and Hastie for the selection of groups of correlated variables. To investigate on the statistical properties of this scheme and in particular on its consistency properties, we set up a suitable mathematical framework.
Ernesto De Vito, Lorenzo Rosasco
exaly   +6 more sources

Compressed Sensing Photoacoustic Imaging Reconstruction Using Elastic Net Approach [PDF]

Molecular Imaging, 2022
Photoacoustic imaging involves reconstructing an estimation of the absorbed energy density distribution from measured ultrasound data. The reconstruction task based on incomplete and noisy experimental data is usually an ill-posed problem that requires ...
Xueyan Liu, Shuo Dai, Mengyu Wang, Yining Zhang   +3 more
doaj   +2 more sources

Stability of the elastic net estimator

Journal of Complexity, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yi Shen, Bin Han, Elena Braverman
exaly   +3 more sources

Priority-Elastic net for binary disease outcome prediction based on multi-omics data [PDF]

BioData Mining
Background High-dimensional omics data integration has emerged as a prominent avenue within the healthcare industry, presenting substantial potential to improve predictive models.
Laila Musib, Roberta Coletti, Marta B. Lopes, Helena Mouriño, Eunice Carrasquinha   +4 more
doaj   +2 more sources

The Bayesian elastic net

Bayesian Analysis, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nan Lin
exaly   +3 more sources

Maize yield estimation at different growth stage using weather variables by LASSO, elastic net and stepwise multiple linear regression techniques [PDF]

Scientific Reports
Maize yield estimation at vegetative, flowering and grain filling stage was performed using four statistical modeling approaches; least absolute shrinkage and selection operator (LASSO), elastic net, stepwise multiple linear regression (SMLR) and ...
Ananta Vashisth, K. S. Aravind
doaj   +2 more sources

On the adaptive elastic-net with a diverging number of parameters

Annals of Statistics, 2009
We consider the problem of model selection and estimation in situations where the number of parameters diverges with the sample size. When the dimension is high, an ideal method should have the oracle property [J. Amer. Statist. Assoc. 96 (2001) 1348--1360] and [Ann. Statist.
Hui Zou, Hao Helen Zhang
exaly   +6 more sources