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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	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
	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：103/0  |  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)
	A parallelized, momentum-incorporated stochastic gradient descent scheme for latent factor analysis on high-dimensional and sparse matrices from recommender systems 会议论文 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019, Bari, Italy, October 6, 2019 - October 9, 2019 作者:  Qin, Wen;  Wu, Hao;  Lai, Qingkuan;  Wang, Chaobin 收藏  |  浏览/下载：134/0  |  提交时间：2020/02/18