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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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浏览/检索结果:
共19条,第1-10条
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收录类别:SCI
资助项目:National Natural Science Foundation of China[61772493]
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Hierarchical Particle Swarm Optimization-incorporated Latent Factor Analysis for Large-Scale Incomplete Matrices
期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 6, 页码: 1524-1536
作者:
Chen, Jia
;
Luo, Xin
;
Zhou, Mengchu
收藏
  |  
浏览/下载:64/0
  |  
提交时间:2022/12/26
Adaptation models
Optimization
Convergence
Computational modeling
Sparse matrices
Particle swarm optimization
Big Data
Big data
latent factor analysis
particle swarm optimization
high-dimensional and sparse matrix
large-scale incomplete data
missing data estimation
industrial application
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
收藏
  |  
浏览/下载:75/0
  |  
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
A PID-incorporated Latent Factorization of Tensors Approach to Dynamically Weighted Directed Network Analysis
期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 卷号: 9, 期号: 3, 页码: 533-546
作者:
Wu, Hao
;
Luo, Xin
;
Zhou, MengChu
;
Rawa, Muhyaddin J.
;
Sedraoui, Khaled
;
Albeshri, Aiiad
收藏
  |  
浏览/下载:55/0
  |  
提交时间:2022/08/22
Big data
high dimensional and incomplete (HDI) tensor
latent factorization-of-tensors (LFT)
machine learning
missing data
optimization
proportional-integral-derivative (PID) controller
An Alternating-Direction-Method of Multipliers-Incorporated Approach to Symmetric Non-Negative Latent Factor Analysis
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:
Luo, Xin
;
Zhong, Yurong
;
Wang, Zidong
;
Li, Maozhen
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  |  
浏览/下载:56/0
  |  
提交时间:2022/08/22
Symmetric matrices
Computational modeling
Data models
Analytical models
Training
Learning systems
Convergence
Alternating-direction-method of multipliers (ADMM)
learning system
missing data
non-negative latent factor analysis (NLFA)
symmetric high-dimensional and incomplete matrix (SHDI)
undirected weighted network
Adjusting Learning Depth in Nonnegative Latent Factorization of Tensors for Accurately Modeling Temporal Patterns in Dynamic QoS Data
期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2021, 卷号: 18, 期号: 4, 页码: 2142-2155
作者:
Luo, Xin
;
Chen, Minzhi
;
Wu, Hao
;
Liu, Zhigang
;
Yuan, Huaqiang
;
Zhou, Mengchu
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  |  
浏览/下载:83/0
  |  
提交时间:2021/11/26
Tensors
Data models
Quality of service
Computational modeling
Analytical models
Training
Web services
Algorithm
big data
dynamics
high-dimensional and incomplete (HDI) data
machine learning
missing data estimation
multichannel data
nonnegative latent factorization of tensors (NLFT)
temporal pattern
quality of service (QoS)
web service
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
收藏
  |  
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
A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 7, 页码: 4285-4296
作者:
Wu, Di
;
Luo, Xin
;
Shang, Mingsheng
;
He, Yi
;
Wang, Guoyin
;
Zhou, MengChu
收藏
  |  
浏览/下载:204/0
  |  
提交时间:2021/08/20
Big data
deep model
high-dimensional and sparse (HiDS) matrix
latent factor (LF) analysis
recommender system (RS)
An L-1-and-L-2-Norm-Oriented Latent Factor Model for Recommender Systems
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14
作者:
Wu, Di
;
Shang, Mingsheng
;
Luo, Xin
;
Wang, Zidong
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2022/08/22
High-dimensional and sparse (HiDS) matrix
latent factor (LF) analysis
L-1 norm
L-2 norm
recommender system (RS)
Convergence Analysis of Single Latent Factor-Dependent, Nonnegative, and Multiplicative Update-Based Nonnegative Latent Factor Models
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 4, 页码: 1737-1749
作者:
Liu, Zhigang
;
Luo, Xin
;
Wang, Zidong
收藏
  |  
浏览/下载:154/0
  |  
提交时间:2021/05/17
Manganese
Convergence
Computational modeling
Learning systems
Analytical models
Sparse matrices
Big Data
Big data
convergence
high-dimensional and sparse (HiDS) matrix
latent factor (LF) analysis
learning system
neural networks
nonnegative LF (NLF) analysis
single LF-dependent nonnegative and multiplicative update (SLF-NMU)
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
收藏
  |  
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)