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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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Pseudo Gradient-Adjusted Particle Swarm Optimization for Accurate Adaptive Latent Factor Analysis
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 页码: 14
作者:
Luo, Xin
;
Chen, Jiufang
;
Yuan, Ye
;
Wang, Zidong
收藏
  |  
浏览/下载:51/0
  |  
提交时间:2024/02/23
High-dimensional and incomplete (HDI) data
hyperparameter adaptation
latent factor analysis (LFA)
network representation
particle swarm optimization (PSO)
A Nonlinear PID-Incorporated Adaptive Stochastic Gradient Descent Algorithm for Latent Factor Analysis
期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 15
作者:
Li, Jinli
;
Luo, Xin
;
Yuan, Ye
;
Gao, Shangce
收藏
  |  
浏览/下载:182/0
  |  
提交时间:2023/12/25
High-dimensional and incomplete data
latent factor analysis
stochastic gradient descent
nonlinear proportional integral derivation
particle swarm optimization
parameter adaptation
Parallel Adaptive Stochastic Gradient Descent Algorithms for Latent Factor Analysis of High-Dimensional and Incomplete Industrial Data
期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 14
作者:
Qin, Wen
;
Luo, Xin
;
Li, Shuai
;
Zhou, MengChu
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/12/25
Adaptation models
Training
Data models
Convergence
Stochastic processes
Sparse matrices
Tuning
Big data
latent factor analysis
Index Terms
adaptive model
parallelization
machine learning
stochastic gradient descent
high-dimensional and incomplete matrix
A Double-Space and Double-Norm Ensembled Latent Factor Model for Highly Accurate Web Service QoS Prediction
期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2023, 卷号: 16, 期号: 2, 页码: 802-814
作者:
Wu, Di
;
Zhang, Peng
;
He, Yi
;
Luo, Xin
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/12/25
Web service
service selection
Quality-of-Service (QoS)
latent factor analysis
missing data prediction
big data
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 Kalman-Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 14
作者:
Yuan, Ye
;
Luo, Xin
;
Shang, Mingsheng
;
Wang, Zidong
收藏
  |  
浏览/下载:66/0
  |  
提交时间:2022/08/22
Quality of service
Data models
Kalman filters
Estimation
Computational modeling
Web services
Heuristic algorithms
Alternating least squares (ALSs)
computational intelligence
data science
dynamic latent factor analysis (LFA)
dynamics
intelligent computing
Kalman filter
temporal pattern
Web service
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
收藏
  |  
浏览/下载:72/0
  |  
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
A Latent Factor Analysis-Based Approach to Online Sparse Streaming Feature Selection
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 页码: 15
作者:
Wu, Di
;
He, Yi
;
Luo, Xin
;
Zhou, MengChu
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2022/08/22
Big data
computational intelligence
latent factor analysis (LFA)
missing data
online algorithm
online feature selection
sparse streaming feature
streaming feature
A proportional-integral-derivative-incorporated stochastic gradient descent-based latent factor analysis model
期刊论文
NEUROCOMPUTING, 2021, 卷号: 427, 页码: 29-39
作者:
Li, Jinli
;
Yuan, Ye
;
Ruan, Tao
;
Chen, Jia
;
Luo, Xin
收藏
  |  
浏览/下载:95/0
  |  
提交时间:2021/03/17
Big data
Stochastic gradient descent
Proportional integral derivation
PID controller
High-dimensional and sparse matrix
Latent factor analysis
Hyper-parameter-evolutionary latent factor analysis for high-dimensional and sparse data from recommender systems
期刊论文
NEUROCOMPUTING, 2021, 卷号: 421, 页码: 316-328
作者:
Chen, Jiufang
;
Yuan, Ye
;
Ruan, Tao
;
Chen, Jia
;
Luo, Xin
收藏
  |  
浏览/下载:75/0
  |  
提交时间:2021/02/24
Big Data
Intelligent Computation
Latent Factor Analysis
Evolutionary Computing
Learning Algorithm
High-dimensional and Sparse Data
Parameter Free