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湖南大学 [4]
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期刊论文 [10]
会议论文 [1]
发表日期
2019 [11]
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Physics [1]
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Bayesian dual neural networks for recommendation
期刊论文
FRONTIERS OF COMPUTER SCIENCE, 2019, 卷号: 13, 期号: 6, 页码: 1255-1265
作者:
He, Jia
;
Zhuang, Fuzhen
;
Liu, Yanchi
;
He, Qing
;
Lin, Fen
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浏览/下载:85/0
  |  
提交时间:2019/12/10
collaborative filtering
Bayesian neural network
hybrid recommendation algorithm
Reconstructing Perceived Images From Human Brain Activities With Bayesian Deep Multiview Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 8, 页码: 2310-2323
作者:
Du, Changde
;
Du, Changying
;
Huang, Lijie
;
He, Huiguang
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  |  
浏览/下载:62/0
  |  
提交时间:2019/12/16
Deep neural network (DNN)
image reconstruction
multiview learning
neural decoding
variational Bayesian inference
The capital flow of stock market studies based on epidemic model with double delays
期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 卷号: 526, 页码: 18
作者:
Zhou, Qi
;
Sun, Shaolong
;
Liu, Qian
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  |  
浏览/下载:46/0
  |  
提交时间:2020/01/10
Epidemic model
Fund contagion
Herd behaviour
Parameter inversion
An efficient algorithm for architecture design of Bayesian neural network in structural model updating
期刊论文
Computer-Aided Civil and Infrastructure Engineering, 2019
作者:
Yin, Tao
;
Zhu, Hong-Ping
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
A new POD-based approximate bayesian computation method to identify parameters for formed AHSS.
期刊论文
International Journal of Solids & Structures, 2019, 卷号: Vol.160, 页码: 120-133
作者:
Zeng, Y
;
Yu, XC
;
Wang, H
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  |  
浏览/下载:5/0
  |  
提交时间:2019/12/13
Approximate bayesian computation
Forming
Material properties
Neural network
POD
A Probabilistic Process Neural Network and Its Application in ECG Classification
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 50431-50439
作者:
Feng, Naidan
;
Xu, Shaohua
;
Liang, Yongquan
;
Liu, Kun
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  |  
浏览/下载:19/0
  |  
提交时间:2019/12/11
Dynamic signal classification
Bayesian decision rules
probabilistic
process neural network
training algorithm
ECG signal classification
A new POD-based approximate bayesian computation method to identify parameters for formed AHSS.
期刊论文
International Journal of Solids & Structures, 2019, 卷号: Vol.160, 页码: 120-133
作者:
Zeng, Yang
;
Yu, Xiancheng
;
Wang, Hu
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/12/17
Approximate bayesian computation
Forming
Material properties
Neural network
POD
A new POD-based approximate bayesian computation method to identify parameters for formed AHSS
期刊论文
International Journal of Solids and Structures, 2019, 卷号: Vol.160, 页码: 120-133
作者:
Yang Zeng
;
Xiancheng Yu
;
Hu Wang
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  |  
浏览/下载:8/0
  |  
提交时间:2019/12/13
Material
properties
Forming
Approximate
bayesian
computation
POD
Neural
network
A new POD-based approximate bayesian computation method to identify parameters for formed AHSS
期刊论文
INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES, 2019, 卷号: Vol.160, 页码: 120-133
作者:
Zeng, Y
;
Yu, XC
;
Wang, H
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/17
Material properties
Forming
Approximate bayesian computation
POD
Neural network
Bayesian regularized NAR neural network based short-term prediction method of water consumption
会议论文
2019 4th International Conference on Advances in Energy and Environment Research, ICAEER 2019, Shanghai, China, 2019-08-16
作者:
Liu, Jianyu
;
Zhao, Linxue
;
Mao, Yanlong
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/20
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