CSpace

浏览/检索结果: 共3条,第1-3条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
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  
Pragmatic Implementation With Non-Gaussian Devices of Noise-Limited Weak Value Amplification 期刊论文
IEEE PHOTONICS JOURNAL, 2021, 卷号: 13, 期号: 2, 页码: 11
作者:  Wu, Hao;  Wu, Peng;  Luo, Zheng-Chun;  Xu, Li-Ping;  Xie, Jia-Heng;  Chang, Tian-Ying;  Shi, Hao-Fei;  Du, Chun-Lei;  Cui, Hong-Liang
收藏  |  浏览/下载:291/0  |  提交时间:2021/04/06
Phase measurement  Wave functions  Measurement uncertainty  Couplings  Sensitivity  Light sources  Frequency measurement  Weak measurement  phase estimation  precision optimization  
Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems 期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2021, 卷号: 7, 期号: 1, 页码: 227-240
作者:  Luo, Xin;  Zhou, Mengchu;  Li, Shuai;  Wu, Di;  Liu, Zhigang;  Shang, Mingsheng
收藏  |  浏览/下载:147/0  |  提交时间:2021/05/17
Data models  Training  Sparse matrices  Recommender systems  Computational modeling  Big Data  Scalability  Non-negative latent factor analysis  non-negativity  latent factor analysis  unconstrained optimization  high-dimensional and sparse matrix  collaborative filtering  recommender system  big data