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An L-1-and-L-2-Norm-Oriented Latent Factor Model for Recommender Systems 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14
作者:  Wu, Di;  Shang, Mingsheng;  Luo, Xin;  Wang, Zidong
收藏  |  浏览/下载:50/0  |  提交时间:2022/08/22
High-dimensional and sparse (HiDS) matrix  latent factor (LF) analysis  L-1 norm  L-2 norm  recommender system (RS)  
Self-training semi-supervised classification based on density peaks of data 期刊论文
NEUROCOMPUTING, 2018, 卷号: 275, 页码: 180-191
作者:  Wu, Di;  Shang, Mingsheng;  Luo, Xin;  Xu, Ji;  Yan, Huyong;  Deng, Weihui;  Wang, Guoyin
收藏  |  浏览/下载:176/0  |  提交时间:2018/03/05
Density peaks  Self-training  Semi-supervised classification  Supervised learning  
Water eutrophication assessment based on rough set and multidimensional cloud model 期刊论文
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2017, 卷号: 164, 页码: 103-112
作者:  Yan, Huyong;  Wu, Di;  Huang, Yu;  Wang, Guoyin;  Shang, Mingsheng;  Xu, Jianjun;  Shi, Xiaoyu;  Shan, Kun;  Zhou, Botian;  Zhao, Yufei
Adobe PDF(2910Kb)  |  收藏  |  浏览/下载:129/0  |  提交时间:2018/03/05
Eutrophication  Rough set  Multidimensional cloud model