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重庆绿色智能技术研... [44]

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限定条件	专题：重庆绿色智能技术研究院第一署名单位第一作者单位通讯作者单位

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	Social resilience to climate and water-related disasters in the Poyang Lake area (East China) over the past 2000 years 期刊论文 ENVIRONMENTAL RESEARCH LETTERS, 2021, 卷号: 16, 期号: 4, 页码: 14 作者: He, Lei; Chen, Jilong; Yang, Liang Emlyn; Li, Guosheng; Lu, Chengfang 收藏 \| 浏览/下载：30/0 \| 提交时间：2021/04/20 social resilience climate change water-related disasters Poyang Lake past 2000 years
	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：27/0 \| 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
	Hyper-parameter-evolutionary latent factor analysis for high-dimensional and sparse data from recommender systems 期刊论文 NEUROCOMPUTING, 2021, 卷号: 421, 页码: 316-328 作者: Chen, Jiufang; Yuan, Ye; Ruan, Tao; Chen, Jia; Luo, Xin 收藏 \| 浏览/下载：14/0 \| 提交时间：2021/02/24 Big Data Intelligent Computation Latent Factor Analysis Evolutionary Computing Learning Algorithm High-dimensional and Sparse Data Parameter Free
	A Fast Non-Negative Latent Factor Model Based on Generalized Momentum Method 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 1, 页码: 610-620 作者: Luo, Xin; Liu, Zhigang; Li, Shuai; Shang, Mingsheng; Wang, Zidong 收藏 \| 浏览/下载：17/0 \| 提交时间：2021/03/17 Big data high-dimensional and sparse (HiDS) matrix latent factor (LF) analysis missing data estimation non-negative LF (NLF) model recommender system
	Formal Verification on the Safety of Internet of Vehicles Based on TPN and Z 期刊论文 MATHEMATICAL PROBLEMS IN ENGINEERING, 2020, 卷号: 2020, 页码: 11 作者: Liu, Yang; Huang, Liyuan; Chen, Jingwei 收藏 \| 浏览/下载：12/0 \| 提交时间：2021/03/01
	Chongqing Engineering and Technology Research Center for Big Data of Public Transportation Operation[2019JTDSJ-YB02] 项目项目编号: 2019JTDSJ-YB02, 资助机构: Chongqing Engineering and Technology Research Center for Big Data of Public Transportation Operation, 2020- - 收藏 \| 浏览/下载：3/0 \| 提交时间：2021/03/01

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