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A deep latent space model for interpretable representation learning on directed graphs
期刊论文
NEUROCOMPUTING, 2024, 卷号: 576, 页码: 13
作者:
Yang, Hanxuan
;
Kong, Qingchao
;
Mao, Wenji
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/05/30
Graph representation learning
Deep latent space model
Model interpretability
Variational auto-encoder
Directed graph
Bayesian model averaging for probabilistic S-N curves with probability distribution model form uncertainty
期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2023, 卷号: 177, 页码: 11
作者:
Zou, Qingrong
;
Wen, Jici
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  |  
浏览/下载:6/0
  |  
提交时间:2023/12/18
N curves
Fatigue design
Bayesian model averaging
Probability distribution model form
uncertainty
A paralleled embedding high-dimensional Bayesian optimization with additive Gaussian kernels for solving CNOP
期刊论文
OCEAN MODELLING, 2023, 卷号: 184, 页码: 26
作者:
Yuan, Shijin
;
Liu, Yaxuan
;
Qin, Bo
;
Mu, Bin
;
Zhang, Kun
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  |  
浏览/下载:9/0
  |  
提交时间:2023/12/07
Autoencoder based Bayesian optimization
Additive Gaussian kernels
Paralleled acquisition function
CNOP
Regional ocean modeling system
Upstream Kuroshio transport
Hydrometeorological triggering of periglacial debris flows using a Bayesian approach: a case study of the Hailuogou Gully region, China
期刊论文
NATURAL HAZARDS, 2023, 页码: 18
作者:
Wang, Zheng
;
Chen, Ningsheng
;
Hu, Guisheng
;
Zhang, Yong
;
Wang, Genxu
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  |  
浏览/下载:13/0
  |  
提交时间:2023/02/20
Periglacial debris flows
Meteorological causes
Bayesian probability
Early warning threshold
Uncertainty Quantification in Remaining Useful Life Prediction under Covariate Shift
期刊论文
Neural Computing and Applications, 2023, 页码: 28
作者:
Wang Huanjie
;
Bai Xiwei
;
Tan Jie
;
Liu Chengbao
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  |  
浏览/下载:8/0
  |  
提交时间:2023/06/19
Remaining useful life
Uncertainty quantification
Bayesian convolutional neural network
Using ANN to study VIV of flexible cylinders in uniform and shear flows
期刊论文
OCEAN ENGINEERING, 2022, 卷号: 259, 页码: 9
作者:
Song JX(宋吉祥)
;
Chen WM(陈伟民)
;
Guo SX(郭双喜)
;
Yan DB(严定帮)
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  |  
浏览/下载:21/0
  |  
提交时间:2022/08/22
Flexible cylinder
Vortex -induced vibration
Neural network
On construction of prediction intervals for heteroscedastic regression
期刊论文
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2022, 页码: 26
作者:
Wu, Yun
;
Xiong, Shifeng
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  |  
浏览/下载:7/0
  |  
提交时间:2023/02/07
Interpolation
Kernel method
Large data
Reconstruction parameterization
Surrogate modeling for spacecraft thermophysical models using deep learning
期刊论文
Neural Computing & Applications, 2022, 卷号: 34, 期号: 19, 页码: 16577-16603
作者:
Y. Xiong
;
L. Guo
;
Y. Zhang
;
M. X. Xu
;
D. F. Tian and M. Li
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  |  
浏览/下载:2/0
  |  
提交时间:2023/06/14
Narrowing the Gap: Improved Detector Training With Noisy Location Annotations
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6369-6380
作者:
Wang, Shaoru
;
Gao, Jin
;
Li, Bing
;
Hu, Weiming
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  |  
浏览/下载:19/0
  |  
提交时间:2022/11/14
Annotations
Noise measurement
Detectors
Task analysis
Training
Object detection
Degradation
Object detection
noisy label
Bayesian estimation
teacher-student learning
Developing a prediction model for segment joint opening in an underwater shield tunnel
期刊论文
MARINE GEORESOURCES & GEOTECHNOLOGY, 2021, 页码: 10
作者:
Liu, Jin-Quan
;
Yuen, Ka-Veng
;
Ke, Jin-Fu
;
Chen, Wei-Zhong
收藏
  |  
浏览/下载:60/0
  |  
提交时间:2022/02/17
Underwater shield tunnel
Structural health monitoring
BMCS method
Segment joint opening
Probability
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