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 +4 more
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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 +2 more
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Sparse STATIS-Dual via Elastic Net [PDF]
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 +3 more
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Discriminative Elastic-Net Regularized Linear Regression [PDF]
IEEE Transactions on Image Processing, 2017 In this paper, we aim at learning compact and discriminative linear regression models. Linear regression has been widely used in different problems. However, most of the existing linear regression methods exploit the conventional zeroone matrix as the ...
Lai, Zhihui +5 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 +3 more
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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 +5 more
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Priority-Elastic net for binary disease outcome prediction based on multi-omics data [PDF]
BioData MiningBackground High-dimensional omics data integration has emerged as a prominent avenue within the healthcare industry, presenting substantial potential to improve predictive models.
Laila Musib +4 more
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Elastic net prefiltering for two class classification [PDF]
IEEE Transactions on Cybernetics, 2012 A two-stage linear-in-the-parameter model construction algorithm is proposed aimed at noisy two-class classification problems. The purpose of the first stage is to produce a prefiltered signal that is used as the desired output for the second stage which
Chen, Sheng, Harris, Chris J., Hong, Xia
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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 ReportsMaize 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
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Pairwise Elastic Net Representation-Based Classification for Hyperspectral Image Classification [PDF]
Entropy, 2021 The representation-based algorithm has raised a great interest in hyperspectral image (HSI) classification. l1-minimization-based sparse representation (SR) attempts to select a few atoms and cannot fully reflect within-class information, while l2 ...
Hao Li +5 more
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