A Communication-Efficient Method for Generalized Linear Regression with L0 Regularization
10.1080/03610918.2022.2115072
Saved in:
Main Authors: | Kunpeng Wang, Xuerui Li, Yanyan Liu, Lican Kang |
---|---|
Other Authors: | DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL) |
Format: | Article |
Published: |
Taylor & Francis
2024
|
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/249700 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
GENOMIC SELECTION USING MULTIPLE LINEAR REGRESSION WITH REGULARIZATION METHODS: RIDGE REGRESSION, LASSO, AND ELASTIC NET
by: Ethan Novriawan, Jeremy -
L-0-Regularized image downscaling
by: LIU, Junjie, et al.
Published: (2018) -
Regularized regression method for genome-wide association studies
by: Liu, J, et al.
Published: (2020) -
Coresets for vertical federated learning: Regularized linear regression and k-means clustering
by: HUANG, Lingxiao, et al.
Published: (2022) -
Schottky contacts regularized linear regression for signal inconsistency circumvent in resistive gas micro-nanosensors
by: Zhao, Yuxin, et al.
Published: (2022)