Results 11 to 20 of about 49,678 (264)

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
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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

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
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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

Sparse STATIS-Dual via Elastic Net

Mathematics, 2021
Multi-set multivariate data analysis methods provide a way to analyze a series of tables together. In particular, the STATIS-dual method is applied in data tables where individuals can vary from one table to another, but the variables that are analyzed ...
Carmen C. Rodríguez-Martínez, Mitzi Cubilla-Montilla, Purificación Vicente-Galindo, Purificación Galindo-Villardón   +3 more
doaj   +1 more source

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   +1 more source

RENT—Repeated Elastic Net Technique for Feature Selection

IEEE Access, 2021
Feature selection is an essential step in data science pipelines to reduce the complexity associated with large datasets. While much research on this topic focuses on optimizing predictive performance, few studies investigate stability in the context of ...
Anna Jenul, Stefan Schrunner, Kristian Hovde Liland, Ulf Geir Indahl, Cecilia Marie Futsaether, Oliver Tomic   +5 more
doaj   +1 more source

Asymptotics of the Adaptive Elastic Net Estimation for Conditional Heteroscedastic Time Series Models

Revstat Statistical Journal, 2022
In this paper we propose an iteratively reweighted adaptive elastic net estimation method for conditional heteroscedastic time series models. The sign consistency and the asymptotic normality of the estimator are investigated.
Yuanyuan Liao , Lihong Wang
doaj   +1 more source

A Study of Multifactor Quantitative Stock-Selection Strategies Incorporating Knockoff and Elastic Net-Logistic Regression

Mathematics, 2023
In the data-driven era, the mining of financial asset information and the selection of appropriate assets are crucial for stable returns and risk control.
Yumei Ren, Guoqiang Tang, Xin Li, Xuchang Chen   +3 more
doaj   +1 more source

Pathway-Based Genomics Prediction using Generalized Elastic Net. [PDF]

PLoS Computational Biology, 2016
We present a novel regularization scheme called The Generalized Elastic Net (GELnet) that incorporates gene pathway information into feature selection.
Artem Sokolov, Daniel E Carlin, Evan O Paull, Robert Baertsch, Joshua M Stuart   +4 more
doaj   +1 more source