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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8条,第1-8条
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出处:IEEE TRANSACTIONS ON CYBERNETICS
语种:英语
资助项目:Pioneer Hundred Talents Program of Chinese Academy of Sciences
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Distributed and Time-Delayed k-Winner-Take-All Network for Competitive Coordination of Multiple Robots
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 12
作者:
Jin, Long
;
Liang, Siqi
;
Luo, Xin
;
Zhou, Mengchu
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浏览/下载:74/0
  |  
提交时间:2022/08/22
Mathematical models
Delay effects
Task analysis
Robot kinematics
Multi-robot systems
Robustness
Heuristic algorithms
Competitive coordination
distributed control
intelligent network
k-winner-take-all (kWTA)
multirobot system
optimization
time delay
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
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浏览/下载:79/0
  |  
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
Robust k-WTA Network Generation, Analysis, and Applications to Multiagent Coordination
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 13
作者:
Qi, Yimeng
;
Jin, Long
;
Luo, Xin
;
Shi, Yang
;
Liu, Mei
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浏览/下载:55/0
  |  
提交时间:2022/08/22
Task analysis
Robustness
Biological neural networks
Resource management
Dynamic scheduling
Convergence
Recurrent neural networks
Consensus filter
k-winner-take-all (k-WTA)
multiagent coordination
theoretical analysis
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:67/0
  |  
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)
Non-Negativity Constrained Missing Data Estimation for High-Dimensional and Sparse Matrices from Industrial Applications
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 5, 页码: 1844-1855
作者:
Luo, Xin
;
Zhou, MengChu
;
Li, Shuai
;
Hu, Lun
;
Shang, Mingsheng
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浏览/下载:137/0
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提交时间:2020/08/24
Computational modeling
Data models
Sparse matrices
Linear programming
Training
Convergence
Analytical models
Alternating-direction-method of multipliers
high-dimensional and sparse matrix
industrial application
non-negative latent factor analysis
recommender system
Temporal Pattern-Aware QoS Prediction via Biased Non-Negative Latent Factorization of Tensors
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 5, 页码: 1798-1809
作者:
Luo, Xin
;
Wu, Hao
;
Yuan, Huaqiang
;
Zhou, MengChu
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浏览/下载:385/0
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提交时间:2020/08/24
Quality of service
Hidden Markov models
Data models
Training
Web services
Time factors
Latent factor analysis (LFA)
latent factorization of tensor
learning temporal pattern
linear bias (LB)
non-negative latent factorization of tensor
non-negativity constraint
quality-of-service (QoS) prediction
Incorporation of Efficient Second-Order Solvers Into Latent Factor Models for Accurate Prediction of Missing QoS Data
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 4, 页码: 1216-1228
作者:
Luo, Xin
;
Zhou, MengChu
;
Li, Shuai
;
Xia, Yunni
;
You, Zhu-Hong
;
Zhu, QingSheng
;
Leung, Hareton
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浏览/下载:529/0
  |  
提交时间:2018/06/04
Big data
latent factor model
missing data prediction
quality-of-service (QoS)
second-order solver
service computing sparse matrices
Web service
Highly Efficient Framework for Predicting Interactions Between Proteins
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 3, 页码: 731-743
作者:
You, Zhu-Hong
;
Zhou, MengChu
;
Luo, Xin
;
Li, Shuai
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浏览/下载:232/0
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提交时间:2018/03/15
Big data
feature extraction
kernel extreme learning machine (K-ELM)
low-rank approximation (LRA)
protein-protein interactions (PPIs)
support vector machine (SVM)