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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:
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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:13/0
  |  
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
Cryptocurrency Transaction Network Embedding From Static and Dynamic Perspectives: An Overview
期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2023, 卷号: 10, 期号: 5, 页码: 1105-1121
作者:
Zhou, Yue
;
Luo, Xin
;
Zhou, MengChu
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/12/25
Measurement
Systematics
Protocols
Big Data
Market research
Cryptocurrency
Blockchains
Big data analysis
cryptocurrency transaction network embedding (CTNE)
dynamic network
network embedding
network representation
static network
Generalized Nesterov's Acceleration-Incorporated, Non-Negative and Adaptive Latent Factor Analysis
期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2022, 卷号: 15, 期号: 5, 页码: 2809-2823
作者:
Luo, Xin
;
Zhou, Yue
;
Liu, Zhigang
;
Hu, Lun
;
Zhou, MengChu
收藏
  |  
浏览/下载:75/0
  |  
提交时间:2022/12/26
Computational modeling
Acceleration
Sparse matrices
Adaptation models
Training
Data models
Convergence
Services computing
service application
big data
latent factor analysis
non-negative latent factor model
high-dimensional and sparse matrix
recommender system
missing data
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
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  |  
浏览/下载:53/0
  |  
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
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:40/0
  |  
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
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:128/0
  |  
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
Reliability-Aware and Deadline-Constrained Mobile Service Composition Over Opportunistic Networks
期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2021, 卷号: 18, 期号: 3, 页码: 1012-1025
作者:
Peng, Qinglan
;
Xia, Yunni
;
Zhou, MengChu
;
Luo, Xin
;
Wang, Shu
;
Wang, Yuandou
;
Wu, Chunrong
;
Pang, Shanchen
;
Lin, Mingwei
收藏
  |  
浏览/下载:173/0
  |  
提交时间:2021/08/20
Reliability
Mobile handsets
Mobile applications
Device-to-device communication
Cloud computing
Service computing
Quality of service
Intelligent optimization
Krill-Herd algorithm
mobile computing
mobile opportunistic network
mobile service composition
service reliability
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:202/0
  |  
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 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:52/0
  |  
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)
Latent Factor-Based Recommenders Relying on Extended Stochastic Gradient Descent Algorithms
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 2, 页码: 916-926
作者:
Luo, Xin
;
Wang, Dexian
;
Zhou, MengChu
;
Yuan, Huaqiang
收藏
  |  
浏览/下载:64/0
  |  
提交时间:2021/03/17
Big data
bi-linear
collaborative filtering (CF)
high-dimensional and sparse (HiDS) matrix
industry
latent factor (LF) analysis
missing data
recommender system