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	Proximal Alternating-Direction-Method-of- Multipliers-Incorporated Nonnegative Latent Factor Analysis 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1388-1406 作者: Fanghui Bi; Xin Luo; Bo Shen; Hongli Dong; Zidong Wang 收藏 \| 浏览/下载：7/0 \| 提交时间：2023/05/29 Data science high-dimensional and incomplete data knowledge acquisition industrial application nonnegative latent factor analysis (NLFA) proximal alternating direction method of multipliers representation learning
	Optimal control of TB transmission based on an age structured HIV-TB co-infection model 期刊论文 Journal of the Franklin Institute, 2022, 卷号: 359, 期号: 9, 页码: 4116-4137 作者: Guo, Zhong-Kai; Huo, Hai-Feng; Xiang, Hong 收藏 \| 浏览/下载：13/0 \| 提交时间：2022/06/20 Disease control Diseases Numerical methods Numerical models Tubes (components) Co-infections Cost deviation Human immunodeficiency virus Human immunodeficiency virus infections Infection models Least cost Optimal controls Problem detection Wellposedness World Health Organization
	Mixture proportional hazards cure model with latent variables 期刊论文 STATISTICS IN MEDICINE, 2021, 页码: 15 作者: He, Haijin; Han, Dongxiao; Song, Xinyuan; Sun, Liuquan 收藏 \| 浏览/下载：10/0 \| 提交时间：2022/04/02 cure model factor analysis latent variables logistic regression proportional hazards model
	Latent structure of self-report negative symptoms in patients with schizophrenia: A preliminary study 期刊论文 ASIAN JOURNAL OF PSYCHIATRY, 2021, 卷号: 61, 页码: 7 作者: Tam, Michelle H. W.; Wang Ling-Ling; Cheng, Koi-man; Wong, Jessica O. Y.; Cheung, Eric F. C. 收藏 \| 浏览/下载：30/0 \| 提交时间：2021/07/28 Negative symptoms Latent structure Schizophrenia Prominent negative symptoms Self-report scales
	Robust Latent Factor Analysis for Precise Representation of High-Dimensional and Sparse Data 期刊论文 IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2021, 卷号: 8, 期号: 4, 页码: 796-805 作者: Wu, Di; Luo, Xin 收藏 \| 浏览/下载：24/0 \| 提交时间：2021/05/17 High-dimensional and sparse matrix L-1-norm L-2-norm latent factor model recommender system smooth L-1-norm
	Convergence Analysis of Single Latent Factor-Dependent, Nonnegative, and Multiplicative Update-Based Nonnegative Latent Factor Models 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 4, 页码: 1737-1749 作者: Liu, Zhigang; Luo, Xin; Wang, Zidong 收藏 \| 浏览/下载：118/0 \| 提交时间：2021/05/17 Manganese Convergence Computational modeling Learning systems Analytical models Sparse matrices Big Data Big data convergence high-dimensional and sparse (HiDS) matrix latent factor (LF) analysis learning system neural networks nonnegative LF (NLF) analysis single LF-dependent nonnegative and multiplicative update (SLF-NMU)
	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 收藏 \| 浏览/下载：25/0 \| 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
	A proportional-integral-derivative-incorporated stochastic gradient descent-based latent factor analysis model 期刊论文 NEUROCOMPUTING, 2021, 卷号: 427, 页码: 29-39 作者: Li, Jinli; Yuan, Ye; Ruan, Tao; Chen, Jia; Luo, Xin 收藏 \| 浏览/下载：21/0 \| 提交时间：2021/03/17 Big data Stochastic gradient descent Proportional integral derivation PID controller High-dimensional and sparse matrix Latent factor analysis
	Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning 期刊论文 IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2021, 卷号: 8, 期号: 2, 页码: 402-411 作者: Luo, Xin; Qin, Wen; Dong, Ani; Sedraoui, Khaled; Zhou, MengChu 收藏 \| 浏览/下载：20/0 \| 提交时间：2021/03/17 Big data industrial application industrial data latent factor analysis machine learning parallel algorithm recommender system (RS) stochastic gradient descent (SGD)
	Latent Factor-Based Recommenders Relying on Extended Stochastic Gradient Descent Algorithms 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 2, 页码: 916-926 作者: Luo, Xin; Wang, Dexian; Zhou, MengChu; Yuan, Huaqiang 收藏 \| 浏览/下载：20/0 \| 提交时间：2021/03/17 Big data bi-linear collaborative filtering (CF) high-dimensional and sparse (HiDS) matrix industry latent factor (LF) analysis missing data recommender system

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