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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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发表日期:2021
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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
收藏
  |  
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
Automatic procedure for selecting flood events and identifying flood characteristics from daily streamflow data
期刊论文
ENVIRONMENTAL MODELLING & SOFTWARE, 2021, 卷号: 145, 页码: 12
作者:
Zhang, Qin
;
Zhang, Liping
;
She, Dunxian
;
Wang, Shuxia
;
Wang, Gangsheng
;
Zeng, Sidong
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2021/11/26
Peak over threshold (POT)
MATLAB
Flood characteristics
Master recession curve
Baseflow separation
Flood hydrograph
Assessing rainwater harvesting potential in a humid and semi-humid region based on a hydrological model
期刊论文
JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2021, 卷号: 37, 页码: 17
作者:
Luo, Kaisheng
;
Li, Yuanzheng
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浏览/下载:66/0
  |  
提交时间:2021/11/26
Rainwater harvesting potential
Humid region
Semi-humid region
Spatial pattern
Temporal dynamics
Dry seasons
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
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
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  |  
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
Spatiotemporal Characteristics of the Water Quality and Its Multiscale Relationship with Land Use in the Yangtze River Basin
期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 16, 页码: 27
作者:
Wu, Jian
;
Zeng, Sidong
;
Yang, Linhan
;
Ren, Yuanxin
;
Xia, Jun
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  |  
浏览/下载:83/0
  |  
提交时间:2021/11/26
water quality
land use
multiscale relationship
Yangtze River basin
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
Thermoelectric performance of binary lithium-based compounds: Li3Sb and Li3Bi
期刊论文
APPLIED PHYSICS LETTERS, 2021, 卷号: 119, 期号: 3, 页码: 5
作者:
Peng, Kunling
;
Zhou, Zizhen
;
Wang, Honghui
;
Wu, Hong
;
Ying, Jianjun
;
Han, Guang
;
Lu, Xu
;
Wang, Guoyu
;
Zhou, Xiaoyuan
;
Chen, Xianhui
收藏
  |  
浏览/下载:123/0
  |  
提交时间:2021/11/26
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 Instance-Frequency-Weighted Regularization Scheme for Non-Negative Latent Factor Analysis on High-Dimensional and Sparse Data
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 6, 页码: 3522-3532
作者:
Luo, Xin
;
Wang, Zidong
;
Shang, Mingsheng
收藏
  |  
浏览/下载:82/0
  |  
提交时间:2021/08/20
High-dimensional and sparse (HiDS) data
industrial application
instance-frequency
non-negative latent factor analysis (NLFA)
recommender system
regularization