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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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资助项目:Natural Science Foundation of Chongqing (China)[cstc2019jcyjjqX0013]
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Nonnegative Latent Factor Analysis-Incorporated and Feature-Weighted Fuzzy Double $c$-Means Clustering for Incomplete Data
期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 卷号: 30, 期号: 10, 页码: 4165-4176
作者:
Song, Yan
;
Li, Ming
;
Zhu, Zhengyu
;
Yang, Guisong
;
Luo, Xin
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2022/12/26
Big data
clustering
fuzzy double c-means
incomplete data
latent factor analysis
local feature weights.
A Fast Fuzzy Clustering Algorithm for Complex Networks via a Generalized Momentum Method
期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 卷号: 30, 期号: 9, 页码: 3473-3485
作者:
Hu, Lun
;
Pan, Xiangyu
;
Tang, Zehai
;
Luo, Xin
收藏
  |  
浏览/下载:100/0
  |  
提交时间:2022/10/14
Complex network
computational intelligence
data science
fuzzy clustering
generalized momentum
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:79/0
  |  
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 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
Growing Echo State Network With an Inverse-Free Weight Update Strategy
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 12
作者:
Chen, Xiufang
;
Luo, Xin
;
Jin, Long
;
Li, Shuai
;
Liu, Mei
收藏
  |  
浏览/下载:63/0
  |  
提交时间:2022/08/22
Reservoirs
Training
Computational modeling
Neurons
Topology
Standards
Numerical models
Echo state network (ESN)
inverse-free algorithm
incremental scheme
Schur complement
Sherman-Morrison formula
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
收藏
  |  
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
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:175/0
  |  
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
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
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  |  
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)
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
Large-Scale Affine Matrix Rank Minimization With a Novel Nonconvex Regularizer
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:
Wang, Zhi
;
Liu, Yu
;
Luo, Xin
;
Wang, Jianjun
;
Gao, Chao
;
Peng, Dezhong
;
Chen, Wu
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2022/08/22
Minimization
Convergence
Tensors
Optimization
Analytical models
Data models
Data analysis
Inexact proximal step
low-rank minimization
matrix completion
novel nonconvex regularizer
robust principal component analysis (RPCA)
tensor completion