Results 101 to 110 of about 2,762 (131)

Variable selection in mixture cure models using elastic net penalty: application to COVID-19 data. [PDF]

PLoS One
Ramalata A, Adekpedjou A, Lesaoana M.
europepmc   +1 more source

Feature-splitting Algorithms for Ultrahigh Dimensional Quantile Regression. [PDF]

J Econom
Wen J, Yang S, Wang CD, Jiang Y, Li R.
europepmc   +1 more source

Towards real-time myocardial infarction diagnosis: a convergence of machine learning and ion-exchange membrane technologies leveraging miRNA signatures.

Lab Chip
Ren X, Zhou R, Ronan G, Ozcebe SG, Ji J, Senapati S, March KL, Handberg E, Anderson D, Pepine CJ, Chang HC, Liu F, Zorlutuna P.   +12 more
europepmc   +1 more source

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Smoothly clipped absolute deviation (SCAD) regularization for compressed sensing MRI using an augmented Lagrangian scheme

2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC), 2012
Compressed sensing (CS) provides a promising framework for MR image reconstruction from highly undersampled data, thus reducing data acquisition time. In this context, sparsity-promoting regularization techniques exploit the prior knowledge that MR images are sparse or compressible in a given transform domain.
Mehranian, Abolfazl, Rad, Hamidreza Saligheh, Rahmim, Arman, Ay, Mohammad Reza, Zaidi, Habib   +4 more
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A symmetric ADMM-type algorithm for robust tensor completion problems using a regularized SCAD-Schatten-p model with application in color image and video recovery

Journal of Computational and Applied Mathematics
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhang, Zhechen, Liu, Sanyang, Liu, Lixia, Lin, Zhiping   +3 more
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The Smoothly Clipped Absolute Deviation (SCAD) penalty variable selection regularization method for robust regression discontinuity designs

AIP Conference Proceedings, 2023
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce, Lorenzo Cohen, Karen M Mustian   +2 more
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