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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:54/0  |  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:48/0  |  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
收藏  |  浏览/下载:63/0  |  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
收藏  |  浏览/下载:82/0  |  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
收藏  |  浏览/下载:42/0  |  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
收藏  |  浏览/下载:82/0  |  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:129/0  |  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:122/0  |  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: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 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:80/0  |  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