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中国科学院重庆绿色智能技术研究院机构知识库
KMS Chongqing Institute of Green and Intelligent Technology, CAS
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共8条,第1-8条
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语种:英语
资助项目:Pioneer Hundred Talents Program of Chinese Academy of Sciences
文献类型:期刊论文
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A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices
期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 3, 页码: 784-794
作者:
Yuan, Ye
;
He, Qiang
;
Luo, Xin
;
Shang, Mingsheng
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浏览/下载:78/0
  |  
提交时间:2022/08/22
Computational modeling
Sparse matrices
Big Data
Data models
Stochastic processes
Training
Software algorithms
Big data
latent factor analysis
generally multilayered structure
deep forest
multilayered extreme learning machine
randomized-learning
high-dimensional and sparse matrix
stochastic gradient descent
randomized model
Large-Scale and Scalable Latent Factor Analysis via Distributed Alternative Stochastic Gradient Descent for Recommender Systems
期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 2, 页码: 420-431
作者:
Shi, Xiaoyu
;
He, Qiang
;
Luo, Xin
;
Bai, Yanan
;
Shang, Mingsheng
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浏览/下载:74/0
  |  
提交时间:2022/08/22
Recommender systems
Training
Optimization
Big Data
Cloud computing
Computational modeling
Sparse matrices
Recommender system
latent factor analysis
high-dimensional and sparse matrices
alternative stochastic gradient descent
distributed computing
Distributed Competition of Multi-Robot Coordination Under Variable and Switching Topologies
期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2021, 页码: 12
作者:
Jin, Long
;
Qi, Yimeng
;
Luo, Xin
;
Li, Shuai
;
Shang, Mingsheng
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  |  
浏览/下载:63/0
  |  
提交时间:2022/08/22
Robot kinematics
Robots
Topology
Multi-robot systems
Heuristic algorithms
Task analysis
Collaboration
Multi-robot coordination
winner-take-all
gradient neural network
distributed control
Non-Negative Latent Factor Model Based on beta-Divergence for Recommender Systems
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 8, 页码: 4612-4623
作者:
Xin, Luo
;
Yuan, Ye
;
Zhou, MengChu
;
Liu, Zhigang
;
Shang, Mingsheng
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  |  
浏览/下载:130/0
  |  
提交时间:2021/08/20
beta-divergence
big data
high-dimensional and sparse (HiDS) matrix
industrial application
learning algorithm
non-negative latent factor (NLF) analysis
recommender system
An alpha -beta -Divergence-Generalized Recommender for Highly Accurate Predictions of Missing User Preferences
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 13
作者:
Shang, Mingsheng
;
Yuan, Ye
;
Luo, Xin
;
Zhou, MengChu
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  |  
浏览/下载:55/0
  |  
提交时间:2022/08/22
Computational modeling
Sparse matrices
Convergence
Data models
Predictive models
Linear programming
Euclidean distance
-divergence
big data
convergence analysis
high-dimensional and sparse (HiDS) data
momentum
machine learning
missing data estimation
non-negative latent factor analysis (NLFA)
recommender system (RS)
A Fast Non-Negative Latent Factor Model Based on Generalized Momentum Method
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 1, 页码: 610-620
作者:
Luo, Xin
;
Liu, Zhigang
;
Li, Shuai
;
Shang, Mingsheng
;
Wang, Zidong
收藏
  |  
浏览/下载:103/0
  |  
提交时间:2021/03/17
Big data
high-dimensional and sparse (HiDS) matrix
latent factor (LF) analysis
missing data estimation
non-negative LF (NLF) model
recommender system
A Highly Accurate Framework for Self-Labeled Semisupervised Classification in Industrial Applications
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 卷号: 14, 期号: 3, 页码: 909-920
作者:
Wu, Di
;
Luo, Xin
;
Wang, Guoyin
;
Shang, Mingsheng
;
Yuan, Ye
;
Yan, Huyong
收藏
  |  
浏览/下载:217/0
  |  
提交时间:2018/06/04
Differential evolution (DE)
general framework
industrial application
positioning optimization
self-labeled
semi-supervised classification (SSC)
Symmetric and Nonnegative Latent Factor Models for Undirected, High-Dimensional, and Sparse Networks in Industrial Applications
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017, 卷号: 13, 期号: 6, 页码: 3098-3107
作者:
Luo, Xin
;
Sun, Jianpei
;
Wang, Zidong
;
Li, Shuai
;
Shang, Mingsheng
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浏览/下载:430/0
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提交时间:2018/03/05
Big data application
high-dimensional, and sparse (SHiDS) matrix
nonnegative latent factor (NLF) model
symmetry
undirected HiDS network