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期刊论文 [22]
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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:6/0
  |  
提交时间:2023/06/19
Remaining useful life
Uncertainty quantification
Bayesian convolutional neural network
Stein variational gradient descent with local approximations
期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2021, 卷号: 386, 页码: 20
作者:
Yan, Liang
;
Zhou, Tao
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  |  
浏览/下载:10/0
  |  
提交时间:2022/04/02
Stein variational gradient decent
Bayesian inference
Deep learning
Local approximation
Bayesian Joint Matrix Decomposition for Data Integration with Heterogeneous Noise
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 4, 页码: 1184-1196
作者:
Zhang, Chihao
;
Zhang, Shihua
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  |  
浏览/下载:99/0
  |  
提交时间:2021/04/26
Matrix decomposition
Bayes methods
Data integration
Inference algorithms
Data models
Data mining
Gaussian distribution
Bayesian methods
matrix decomposition
data integration
variational Bayesian inference
maximum a posterior
Variational Inference Based Kernel Dynamic Bayesian Networks for Construction of Prediction Intervals for Industrial Time Series With Incomplete Input
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 5, 页码: 1429-1437
作者:
Long Chen
;
Linqing Wang
;
Zhongyang Han
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  |  
浏览/下载:14/0
  |  
提交时间:2021/03/11
Industrial time series
kernel dynamic Bayesian networks (KDBN)
prediction intervals (PIs)
variational inference
An Adaptive Target Tracking Algorithm Based on EKF for AUV with Unknown Non-Gaussian Process Noise
期刊论文
APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 10, 页码: 1-22
作者:
Dong LY(董凌艳)
;
Xu HL(徐红丽)
;
Feng XS(封锡盛)
;
Han XJ(韩晓军)
;
Yu C(于闯)
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  |  
浏览/下载:12/0
  |  
提交时间:2020/07/11
AUV
neural network
VI
EKF
Neural variational collaborative filtering with side information for top-K recommendation
期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2019, 卷号: 10, 期号: 11, 页码: 3273-3284
作者:
Deng, Xiaoyi
;
Zhuang, Fuzhen
;
Zhu, Zhiguo
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  |  
浏览/下载:11/0
  |  
提交时间:2020/12/10
Neural collaborative filtering
Variational autoencoder
Top-K recommendation
Side information
Implicit feedback
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:63/0
  |  
提交时间:2019/12/16
Deep neural network (DNN)
image reconstruction
multiview learning
neural decoding
variational Bayesian inference
Variational Bayesian Learning for Dirichlet Process Mixture of Inverted Dirichlet Distributions in Non-Gaussian Image Feature Modeling
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 2, 页码: 449-463
作者:
Ma, Zhanyu
;
Lai, Yuping
;
Kleijn, W. Bastiaan
;
Song, Yi-Zhe
;
Wang, Liang
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  |  
浏览/下载:51/0
  |  
提交时间:2019/07/12
Bayesian estimation
computer vision
Dirichlet process (DP) mixture
inverted Dirichlet distribution
variational learning
Variational Bayesian Change Detection of Remote Sensing Images Based on Spatially Variant Gaussian Mixture Model and Separability Criterion
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: 12, 期号: 3
作者:
Yang, Gang
;
Li, Heng-Chao
;
Yang, Wen
;
Fu, Kun
;
Celik, Turgay
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  |  
浏览/下载:2/0
  |  
提交时间:2019/12/05
Remote sensing (RS)
separability criterion
spatial constraint
spatially variant Gaussian mixture model (SVGMM)
unsupervised change detection
variational inference (VI)
Simultaneous Bayesian Clustering and Feature Selection Through Student's t Mixtures Model
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 页码: 1187-1199
作者:
Sun, Jianyong
;
Zhou, Aimin
;
Keates, Simeon
;
Liao, Shengbin
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  |  
浏览/下载:11/0
  |  
提交时间:2019/11/26
robust clustering
tree-structured variational Bayes (VB)
feature selection
Bayesian inference
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