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期刊论文 [9]
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2019 [9]
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发表日期:2019
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HybridTune: Spatio-Temporal Performance Data Correlation for Performance Diagnosis of Big Data Systems
期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2019, 卷号: 34, 期号: 6, 页码: 1167-1184
作者:
Ren, Rui
;
Cheng, Jiechao
;
He, Xi-Wen
;
Wang, Lei
;
Zhan, Jian-Feng
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浏览/下载:1/0
  |  
提交时间:2020/12/10
Big Data system
spatio-temporal correlation
rule-based diagnosis
machine learning
On the performance and convergence of distributed stream processing via approximate fault tolerance
期刊论文
VLDB JOURNAL, 2019, 卷号: 28, 期号: 5, 页码: 821-846
作者:
Cheng, Zhinan
;
Huang, Qun
;
Lee, Patrick P. C.
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  |  
浏览/下载:48/0
  |  
提交时间:2019/12/10
Distributed stream processing
Approximate fault tolerance
Online learning
Applying Ricci flow to high dimensional manifold learning
期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2019, 卷号: 62, 期号: 9, 页码: 14
作者:
Li, Yangyang
;
Lu, Ruqian
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浏览/下载:60/0
  |  
提交时间:2020/01/10
manifold learning
Ricci flow
Ricci curvature
dimension reduction
curvature estimation
Understanding the Spatial Distribution of Urban Forests in China Using Sentinel-2 Images with Google Earth Engine
期刊论文
FORESTS, 2019, 卷号: 10, 期号: 9, 页码: 15
作者:
Duan, Qianwen
;
Tan, Minghong
;
Guo, Yuxuan
;
Wang, Xue
;
Xin, Liangjie
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  |  
浏览/下载:4/0
  |  
提交时间:2020/05/19
urban greening
urban area
China
Sentinel-2
Google Earth Engine
New distributed adaptive protocols for uncertain nonlinear leader-follower multi-agent systems via a repetitive learning control approach
期刊论文
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2019, 卷号: 356, 期号: 12, 页码: 6571-6590
作者:
Yang, Nana
;
Li, Junmin
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浏览/下载:4/0
  |  
提交时间:2019/11/15
Adaptive control systems
Distributed parameter control systems
Graph theory
Learning algorithms
Learning systems
Lyapunov functions
Nonlinear control systems
Time varying control systems
Algebraic graph theory
Distributed consensus
Distributed protocols
Lyapunov-Krasovskii functionals
Parameter uncertainty
Repetitive learning control
Simulation example
Time varying coupling
OptQuant: Distributed training of neural networks with optimized quantization mechanisms
期刊论文
NEUROCOMPUTING, 2019, 卷号: 340, 页码: 233-244
作者:
He, Li
;
Zheng, Shuxin
;
Chen, Wei
;
Ma, Zhi-Ming
;
Liu, Tie-Yan
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浏览/下载:24/0
  |  
提交时间:2019/12/13
Distributed machine learning
Deep learning
Stochastic gradient descent
Gradient quantization
FAIR Science for Social Machines: Let’s Share Metadata Knowlets in the Internet of FAIR Data and Services
期刊论文
Data Intelligence, 2019, 卷号: 1, 期号: 1, 页码: 21-42
作者:
Barend Mons
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浏览/下载:2/0
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提交时间:2021/04/30
Fair Science
Semantic Publication
Metadata
Knowlets
Fair Principles
HiWalk: Learning node embeddings from heterogeneous networks
期刊论文
INFORMATION SYSTEMS, 2019, 卷号: 81, 页码: 82-91
作者:
Bai, Jie
;
Li, Linjing
;
Zeng, Daniel
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浏览/下载:40/0
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提交时间:2019/07/12
Network analysis
Representation learning
Behavioral analysis
Random walk
Heterogeneous network
Model Aggregation Method for Data Parallelism in Distributed Real-Time Machine Learning of Smart Sensing Equipment
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 172065-172073
作者:
Fan, Yuchen
;
Zhang, Jilin
;
Zhao, Nailiang
;
Ren, Yongjian
;
Wan, Jian
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  |  
浏览/下载:1/0
  |  
提交时间:2020/12/10
Distributed machine learning
stochastic gradient descent
model aggregation method
smart sensing equipment
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