机构

• 重庆绿色智能技术研究... [4]
• 力学研究所 [2]
• 自动化研究所 [1]
• 深海科学与工程研究所 [1]
• 植物研究所 [1]

采集方式

• OAI收割 [9]

内容类型

• 期刊论文 [9]

发表日期

• 2022 [1]
• 2021 [3]
• 2020 [1]
• 2019 [2]
• 2018 [1]
• 2017 [1]
• 更多

学科主题

• Geoscience... [1]

筛选

浏览/检索结果: 共9条，第1-9条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Application of unlabelled big data and deep semi-supervised learning to significantly improve the logging interpretation accuracy for deep-sea gas hydrate-bearing sediment reservoirs 期刊论文  OAI收割 ENERGY REPORTS, 2022, 卷号: 8, 页码: 2947-2963 作者:  Zhu, Linqi;  Wei, Jiangong;  Wu, Shiguo;  Zhou, Xueqing;  Sun, Jin   |  收藏  |  浏览/下载：11/0  |  提交时间：2022/05/20 Gas hydrate-bearing sediments  Deep learning  Big data application  India national gas hydrate program   Non-Negative Latent Factor Model Based on beta-Divergence for Recommender Systems 期刊论文  OAI收割 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：22/0  |  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  OAI收割 IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2021, 卷号: 8, 期号: 2, 页码: 402-411 作者:     |  收藏  |  浏览/下载：24/0  |  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)   Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 2, 页码: 402-411 作者:  Xin Luo;  Wen Qin;  Ani Dong;  Khaled Sedraoui;  MengChu Zhou   |  收藏  |  浏览/下载：16/0  |  提交时间：2021/04/09 Big data  industrial application  industrial data  latent factor analysis  machine learning  parallel algorithm  recommender system (RS)  stochastic gradient descent (SGD)   Application of deep learning in ecological resource research: Theories, methods, and challenges 期刊论文  OAI收割 SCIENCE CHINA-EARTH SCIENCES, 2020, 卷号: 63, 期号: 10, 页码: 1457-1474 作者:  Guo, Qinghua;  Jin, Shichao;  Li, Min;  Yang, Qiuli;  Xu, Kexin   |  收藏  |  浏览/下载：23/0  |  提交时间：2022/03/01 Ecological resources  Deep learning  Neural network  Big data  Theory and tools  Application and challenge   Design of High Entropy Alloys Based on Phase Formation Criteria and Big Data System 期刊论文  OAI收割 稀有金属材料与工程, 2019, 卷号: 48, 期号: 4, 页码: 1059-1064 作者:  Ye QL(叶奇鲁);  Yang G(杨钢);  Gong ZH(龚志华);  Yang MX(杨沐鑫);  Chen QM(陈清明)   |  收藏  |  浏览/下载：77/0  |  提交时间：2019/06/10 high entropy alloys  criteria  big data  design  application   Comparative Analysis of Energy-Efficient Scheduling Algorithms for Big Data Applications 期刊论文  OAI收割 IEEE ACCESS, 2018, 卷号: 6, 页码: 40073-40084 作者:  Li, Hongjian;  Wang, Huochen;  Xiong, Anping;  Lai, Jun;  Tian, Wenhong   |  收藏  |  浏览/下载：37/0  |  提交时间：2018/09/25 Big Data  Deadline-constrained  Energy-efficient  Spark Application  Tasks Scheduling Algorithm   Symmetric and Nonnegative Latent Factor Models for Undirected, High-Dimensional, and Sparse Networks in Industrial Applications 期刊论文  OAI收割 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017, 卷号: 13, 期号: 6, 页码: 3098-3107 作者:  Luo, Xin;  Sun, Jianpei;  Wang, Zidong;  Li, Shuai;  Shang, Mingsheng   |  收藏  |  浏览/下载：56/0  |  提交时间：2018/03/05 Big data application  high-dimensional, and sparse (SHiDS) matrix  nonnegative latent factor (NLF) model  symmetry  undirected HiDS network