Multi-Task Nonparametric Regression Under Joint Sparsity
This study investigates a multi-task estimation under joint sparsity. We consider estimating multiple functions when functions of interest share common sparsity patterns. An <inline-formula> <tex-math notation="LaTeX">$\ell _{2}$ </tex-math></inline-formula> penalty...
Saved in:
Main Authors: | Jae-Hwan Jhong, Gyeongmin Kim, Kwan-Young Bak |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10870240/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Accelerated dynamic light sheet microscopy: unifying time-varying patterned illumination and low-rank and sparsity constrained reconstruction
by: Marco Tobia Vitali, et al.
Published: (2025-01-01) -
MtCro: multi-task deep learning framework improves multi-trait genomic prediction of crops
by: Dian Chao, et al.
Published: (2025-02-01) -
A bi-subpopulation coevolutionary immune algorithm for multi-objective combinatorial optimization in multi-UAV task allocation
by: Xi Chen, et al.
Published: (2025-01-01) -
Multitasking: does task-switching add to the effect of dual-tasking on everyday-like driving behavior?
by: Piesie A. G. Asuako, et al.
Published: (2025-02-01) -
Unveiling the root causes and results of illegitimate tasks: A systematic literature review
by: Iqbal Saleha, et al.
Published: (2025-01-01)