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Structured Sparse Multi-Task Learning with Generalized Group Lasso
会议论文
FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS, Krakow, Poland, September 30, 2023 - October 4, 2023
作者:
Fei, Luhuan
;
Sun, Lu
;
Kudo, Mineichi
;
Kimura, Keigo
Adobe PDF(934Kb)
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收藏
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浏览/下载：687/238
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提交时间：2023/11/24
Learning systems
Machine learning
Mathematical operators
Optimization
Compact model
Generalisation
Group lassos
High-dimensional
Learning to learn
Multitask learning
Optimization algorithms
Regularisation
Sharing information
Structured sparsities
Efficient Sparse Reduced-Rank Regression With Covariance Estimation
会议论文
IEEE WORKSHOP ON STATISTICAL SIGNAL PROCESSING PROCEEDINGS, Hanoi, Viet nam, July 2, 2023 - July 5, 2023
作者:
Fengpei Li
;
Ziping Zhao
Adobe PDF(1026Kb)
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收藏
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浏览/下载：323/0
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提交时间：2023/09/08
Convergence of numerical methods
Signal processing
Covariance estimation
Covariance selection
Estimation methods
Group sparsities
Low-rank
Majorization-minimization
Minimisation
Multivariate linear regressions
Multivariate regression
Reduced rank regression
Joint Sensor Selection, Beamforming and Phase Control in Reconfigurable Intelligent Surface Aided IoT Fusion Networks
期刊论文
IEEE WIRELESS COMMUNICATIONS LETTERS, 2022, 卷号: 11, 期号: 2
作者:
Yuyan Zhou
;
Yang Liu
;
Ming Li
;
Qingqing Wu
;
Hao Wang
Adobe PDF(703Kb)
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收藏
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浏览/下载：332/0
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提交时间：2021/12/17
Array processing
Beamforming
Energy utilization
Internet of things
Sensor networks
Surface waves
Group sparsities
Internet of thing sensor network.
Joint sensors
Minimisation
Power demands
Reconfigurable
Reconfigurable intelligent surface
Sensor selection
Sensors network
Signal processing algorithms
Sparse Reduced-Rank Regression with Adaptive Selection of Groups of Predictors
会议论文
2021 55TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS, Virtual, Pacific Grove, CA, United states, October 31, 2021 - November 3, 2021
作者:
Quan Wei
;
Yujia Zhang
;
Ziping Zhao
Adobe PDF(1014Kb)
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收藏
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浏览/下载：221/1
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提交时间：2022/07/01
Economics
Regression analysis
Statistics
Adaptive selection
Dimension reduction
Group sparsities
Low-rank
Multivariate regression
Penalized estimation
Reduced rank regression
Reduced rank regression models
Sorted L-one penalized estimation
Variables selections
Sparse Optimization for Green Edge AI Inference
期刊论文
JOURNAL OF COMMUNICATIONS AND INFORMATION NETWORKS, 2020, 卷号: 5, 期号: 1, 页码: 1-15
作者:
Xiangyu Yang
;
Sheng Hua
;
Yuanming Shi
;
Hao Wang
;
Jun Zhang
Adobe PDF(1522Kb)
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收藏
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浏览/下载：374/0
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提交时间：2020/07/22
AI
edge inference
cooperative transmission
energy efficiency
group sparse beamforming
proximal iteratively reweighted algorithm
Inference engines
Beamforming
Combinatorial optimization
Electric power utilization
Deep learning
Iterative methods
Cooperative transmission
Edge inference
Group sparse
Group sparse beamforming
Group sparsities
Learning tasks
Network edges
Proximal iteratively reweighted algorithm
Sparse optimizations
Task selection
L-2-Box Optimization for Green Cloud-RAN via Network Adaptation
会议论文
2018 IEEE 88TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-FALL), Chicago, IL, United states, August 27, 2018 - August 30, 2018
作者:
Fan Zhang
;
Qiong Wu
;
Hao Wang
;
Yuanming Shi
Adobe PDF(592Kb)
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浏览/下载：764/0
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提交时间：2019/07/01
Cloud-RAN
l(2)-box
difference of convex problems
majorization-minimization algorithms
dual ascent methods
inexact algorithms
group-sparsity
Radio access networks
Green computing
Electric power utilization
Beamforming
Convex problems
Group sparsities
Inexact algorithm
L2-box
Minimization algorithms
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