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A Nonlinear PID-Incorporated Adaptive Stochastic Gradient Descent Algorithm for Latent Factor Analysis 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 15
作者:  Li, Jinli;  Luo, Xin;  Yuan, Ye;  Gao, Shangce
收藏  |  浏览/下载:181/0  |  提交时间:2023/12/25
High-dimensional and incomplete data  latent factor analysis  stochastic gradient descent  nonlinear proportional integral derivation  particle swarm optimization  parameter adaptation  
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)  
Spatial and temporal relation rule acquisition of eutrophication in Da'ning River based on rough set theory 期刊论文
ECOLOGICAL INDICATORS, 2016, 卷号: 66, 页码: 180-189
作者:  Yan, Hu Yong;  Zhang, Xue Rui;  Dong, Jian Hua;  Shang, Ming Sheng;  Shan, Kun;  Wu, Di;  Yuan, Ye;  Wang, Xu;  Meng, Hui;  Huang, Yu;  Wang, Guo Yin
Adobe PDF(1166Kb)  |  收藏  |  浏览/下载:104/0  |  提交时间:2018/03/15