中国科学院重庆绿色智能技术研究院机构知识库

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发表日期：2023

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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
	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:  Bi, Fanghui;  Luo, Xin;  Shen, Bo;  Dong, Hongli;  Wang, Zidong 收藏  |  浏览/下载：13/0  |  提交时间：2023/12/25 Data science  high-dimensional and incomplete data  knowledge acquisition  industrial application  nonnegative latent factor analysis(NLFA)  proximal alternating direction method of multipliers  representation learning
	Parallel Adaptive Stochastic Gradient Descent Algorithms for Latent Factor Analysis of High-Dimensional and Incomplete Industrial Data 期刊论文 IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 14 作者:  Qin, Wen;  Luo, Xin;  Li, Shuai;  Zhou, MengChu 收藏  |  浏览/下载：13/0  |  提交时间：2023/12/25 Adaptation models  Training  Data models  Convergence  Stochastic processes  Sparse matrices  Tuning  Big data  latent factor analysis  Index Terms  adaptive model  parallelization  machine learning  stochastic gradient descent  high-dimensional and incomplete matrix
	Neulft: A Novel Approach to Nonlinear Canonical Polyadic Decomposition on High-Dimensional Incomplete Tensors 期刊论文 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 6, 页码: 6148-6166 作者:  Luo, Xin;  Wu, Hao;  Li, Zechao 收藏  |  浏览/下载：12/0  |  提交时间：2023/12/25 Tensors  Data models  Computational modeling  Adaptation models  Training  Artificial neural networks  Neurons  Nonlinear tensor model  Big Data  high-dimensional and incomplete tensor  latent factorization of tensors  hyper-parameter adaptation