中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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长春光学精密机械与... [19]
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Proximal Alternating-Direction-Method-of- Multipliers-Incorporated Nonnegative Latent Factor Analysis
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1388-1406
作者:
Fanghui Bi
;
Xin Luo
;
Bo Shen
;
Hongli Dong
;
Zidong Wang
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收藏
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浏览/下载:7/0
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提交时间:2023/05/29
Data science
high-dimensional and incomplete data
knowledge acquisition
industrial application
nonnegative latent factor analysis (NLFA)
proximal alternating direction method of multipliers
representation learning
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
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收藏
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浏览/下载:11/0
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提交时间:2022/05/20
Gas hydrate-bearing sediments
Deep learning
Big data application
India national gas hydrate program
Accelerating Data Transfer in Dataflow Architectures Through a Look-Ahead Acknowledgment Mechanism
期刊论文
OAI收割
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2022, 卷号: 37, 期号: 4, 页码: 942-959
作者:
Feng, Yu-Jing
;
Li, De-Jian
;
Tan, Xu
;
Ye, Xiao-Chun
;
Fan, Dong-Rui
|
收藏
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浏览/下载:38/0
|
提交时间:2022/12/07
dataflow model
control-ow model
high-performance computing application
data transfer
power efficiency
Bert-Based Latent Semantic Analysis (Bert-LSA): A Case Study on Geospatial Data Technology and Application Trend Analysis
期刊论文
OAI收割
APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 24, 页码: 13
作者:
Cheng, Quanying
;
Zhu, Yunqiang
;
Song, Jia
;
Zeng, Hongyun
;
Wang, Shu
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收藏
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浏览/下载:24/0
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提交时间:2022/09/21
trend analysis
topic modeling
Bert
geospatial data technology and application
Bert-Based Latent Semantic Analysis (Bert-LSA): A Case Study on Geospatial Data Technology and Application Trend Analysis
期刊论文
OAI收割
APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 24, 页码: 13
作者:
Cheng, Quanying
;
Zhu, Yunqiang
;
Song, Jia
;
Zeng, Hongyun
;
Wang, Shu
|
收藏
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浏览/下载:35/0
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提交时间:2022/09/21
trend analysis
topic modeling
Bert
geospatial data technology and application
Formalizing Parameter Constraints to Support Intelligent Geoprocessing: A SHACL-Based Method
期刊论文
OAI收割
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2021, 卷号: 10, 期号: 9, 页码: 24
作者:
Hou, Zhi-Wei
;
Qin, Cheng-Zhi
;
Zhu, A-Xing
;
Wang, Yi-Jie
;
Liang, Peng
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收藏
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浏览/下载:55/0
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提交时间:2021/11/05
intelligent geoprocessing
parameter constraints
input data validation
formalization
heuristic evaluation
application context
Formalizing Parameter Constraints to Support Intelligent Geoprocessing: A SHACL-Based Method
期刊论文
OAI收割
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2021, 卷号: 10, 期号: 9, 页码: 24
作者:
Hou, Zhi-Wei
;
Qin, Cheng-Zhi
;
Zhu, A-Xing
;
Wang, Yi-Jie
;
Liang, Peng
|
收藏
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浏览/下载:21/0
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提交时间:2021/11/05
intelligent geoprocessing
parameter constraints
input data validation
formalization
heuristic evaluation
application context
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
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收藏
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浏览/下载:23/0
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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
An Instance-Frequency-Weighted Regularization Scheme for Non-Negative Latent Factor Analysis on High-Dimensional and Sparse Data
期刊论文
OAI收割
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 6, 页码: 3522-3532
作者:
Luo, Xin
;
Wang, Zidong
;
Shang, Mingsheng
|
收藏
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浏览/下载:28/0
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提交时间:2021/08/20
High-dimensional and sparse (HiDS) data
industrial application
instance-frequency
non-negative latent factor analysis (NLFA)
recommender system
regularization
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:
Luo, Xin
;
Qin, Wen
;
Dong, Ani
;
Sedraoui, Khaled
;
Zhou, MengChu
|
收藏
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浏览/下载:28/0
|
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)
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