E-ENDPP: a safe feature selection rule for speeding up Elastic Net
Sign Up to like & getrecommendations! Published in 2018 at "Applied Intelligence"
DOI: 10.1007/s10489-018-1295-y
Abstract: Lasso is a popular regression model, which can do automatic variable selection and continuous shrinkage simultaneously. The Elastic Net is one of the corrective methods of Lasso, which selects groups of correlated variables. It is… read more here.
Keywords: safe feature; selection; endpp safe; elastic net ... See more keywords
A generalized elastic net regularization with smoothed $$\ell _{q}$$ℓq penalty for sparse vector recovery
Sign Up to like & getrecommendations! Published in 2017 at "Computational Optimization and Applications"
DOI: 10.1007/s10589-017-9916-7
Abstract: In this paper, we propose an iterative algorithm for solving the generalized elastic net regularization problem with smoothed $$\ell _{q} (0 read more here.
Keywords: net regularization; smoothed ell; ell penalty; elastic net ... See more keywords
Modelling of piping collapses and gully headcut landforms: Evaluating topographic variables from different types of DEM
Sign Up to like & getrecommendations! Published in 2021 at "Geoscience frontiers"
DOI: 10.1016/j.gsf.2021.101230
Abstract: Abstract The geomorphic studies are extremely dependent on the quality and spatial resolution of digital elevation model (DEM) data. The unique terrain characteristics of a particular landscape are derived from DEM, which are responsible for… read more here.
Keywords: types dem; gully erosion; model; dem ... See more keywords
Enabling reduced-order data-driven nonlinear identification and modeling through naïve elastic net regularization
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Non-linear Mechanics"
DOI: 10.1016/j.ijnonlinmec.2017.01.016
Abstract: Abstract This work discusses an improved method of reduced-order modeling for existing data-driven nonlinear identification techniques through the incorporation of naive elastic net regularization. The data-driven methods considered for this study operate using basis functions… read more here.
Keywords: reduced order; elastic net; net regularization; data driven ... See more keywords
Consistency of the Elastic Net under a finite second moment assumption on the noise
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Statistical Planning and Inference"
DOI: 10.1016/j.jspi.2019.04.007
Abstract: Abstract Elastic Net regularization is a powerful tool to do prediction as well as variable selection. De Mol et al. (2009) developed a theoretical framework to analyse the Elastic Net and proved important properties as… read more here.
Keywords: assumption noise; moment assumption; finite second; consistency elastic ... See more keywords
Elastic-net regularized latent factor analysis-based models for recommender systems
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.10.046
Abstract: Abstract Latent factor analysis (LFA)-based models are highly efficient in recommender systems. The problem of LFA is defined on high-dimensional and sparse (HiDS) matrices corresponding to relationships among numerous entities in industrial applications. It is… read more here.
Keywords: latent factor; factor analysis; based models; factor ... See more keywords
A new data adaptive elastic net predictive model using hybridized smoothed covariance estimators with information complexity
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2019.1576683
Abstract: ABSTRACT We develop a novel Adaptive Elastic Net (AEN) modelling using a new covariance-regularization approach via the Hybridized Smoothed Covariance Estimators (HSCEs) to identify and select the best subset of predictors in undersized high-dimensional data… read more here.
Keywords: information; model; adaptive elastic; elastic net ... See more keywords
Online dynamic cardiac imaging based on the elastic-net model
Sign Up to like & getrecommendations! Published in 2017 at "Inverse Problems in Science and Engineering"
DOI: 10.1080/17415977.2016.1141207
Abstract: Abstract Purpose: The purpose of this work was to develop an online dynamic cardiac MRI model to reconstruct image frames from partial acquisition of the Cartesian k-space data, which utilizes structural knowledge of consecutive image… read more here.
Keywords: net model; online dynamic; dynamic cardiac; model ... See more keywords
Super-Resolution of Face Images Using Weighted Elastic Net Constrained Sparse Representation
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2913008
Abstract: High-resolution (HR) face images are usually preferred in many computer vision tasks. However, low-resolution (LR) face images, which are often obtained in real scenarios, can be converted to a high resolution with the super-resolution techniques.… read more here.
Keywords: resolution; resolution face; face; super resolution ... See more keywords
High-Resolution Reconstruction of FMT Based on Elastic Net Optimized by Relaxed ADMM
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2022.3190049
Abstract: Fluorescence Molecular Tomography (FMT), providing thethree-dimensional fluorescent distribution information of specific molecular probes in tumors, is widely applied to detect in vivo tumors. However, the ill-posedness of reconstruction greatly affects the resolution of FMT. Traditional… read more here.
Keywords: fmt; resolution reconstruction; high resolution; resolution ... See more keywords
Cancer Progression Prediction Using Gene Interaction Regularized Elastic Net.
Sign Up to like & getrecommendations! Published in 2017 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2015.2511758
Abstract: Different types of genomic aberration may simultaneously contribute to tumorigenesis. To obtain a more accurate prognostic assessment to guide therapeutic regimen choice for cancer patients, the heterogeneous multi-omics data should be integrated harmoniously, which can… read more here.
Keywords: interaction regularized; gene interaction; cancer; gene ... See more keywords