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Efficient adaptive learning rate for convolutional neural network based on quadratic interpolation egret swarm optimization algorithm 期刊论文
HELIYON, 2024, 卷号: 10, 期号: 18, 页码: 17
作者:  Wei, Peiyang;  Shang, Mingsheng;  Zhou, Jiesan;  Shi, Xiaoyu
收藏  |  浏览/下载:0/0  |  提交时间:2024/11/05
Convolutional neural network  Multi-domain image classification  Adaptive learning rate  Egret swarm optimization algorithm  Quadratic interpolation  
A Transfer-Learning-Like Neural Dynamics Algorithm for Arctic Sea Ice Extraction 期刊论文
NEURAL PROCESSING LETTERS, 2024, 卷号: 56, 期号: 4, 页码: 24
作者:  Peng, Bo;  Zhang, Kefan;  Jin, Long;  Shang, Mingsheng
收藏  |  浏览/下载:659/0  |  提交时间:2024/09/23
Arctic sea ice extraction  Transfer-learning-like neural dynamics  Noise-tolerant algorithm  Neural dynamics.  
Adjusting Learning Depth in Nonnegative Latent Factorization of Tensors for Accurately Modeling Temporal Patterns in Dynamic QoS Data 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2021, 卷号: 18, 期号: 4, 页码: 2142-2155
作者:  Luo, Xin;  Chen, Minzhi;  Wu, Hao;  Liu, Zhigang;  Yuan, Huaqiang;  Zhou, Mengchu
收藏  |  浏览/下载:97/0  |  提交时间:2021/11/26
Tensors  Data models  Quality of service  Computational modeling  Analytical models  Training  Web services  Algorithm  big data  dynamics  high-dimensional and incomplete (HDI) data  machine learning  missing data estimation  multichannel data  nonnegative latent factorization of tensors (NLFT)  temporal pattern  quality of service (QoS)  web service  
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:156/0  |  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  
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:117/0  |  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)  
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:85/0  |  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