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北京航空航天大学 [10]
武汉大学 [10]
山东大学 [9]
西安交通大学 [8]
北京大学 [6]
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期刊论文 [76]
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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
收藏
  |  
浏览/下载:13/0
  |  
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
BiTSC2: Bayesian inference of tumor clonal tree by joint analysis of single-cell SNV and CNA data
期刊论文
BRIEFINGS IN BIOINFORMATICS, 2022, 页码: 12
作者:
Chen, Ziwei
;
Gong, Fuzhou
;
Wan, Lin
;
Ma, Liang
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2022/06/21
single-cell DNA sequencing
intra-tumor heterogeneity
single nucleotide variation
copy number alteration
Bayesian modeling
cancer evolution
Clustering Hidden Markov Models With Variational Bayesian Hierarchical EM
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:
Lan, Hui
;
Liu, Ziquan
;
Hsiao, Janet H.
;
Yu, Dan
;
Chan, Antoni B.
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  |  
浏览/下载:11/0
  |  
提交时间:2022/04/02
Hidden Markov models
Bayes methods
Data models
Computational modeling
Mixture models
Clustering algorithms
Analytical models
Clustering
hidden Markov mixture model (H3M)
hierarchical EM
variational Bayesian (VB)
Dynamic Non-Gaussian hybrid serial modeling for industrial process monitoring
期刊论文
Chemometrics and Intelligent Laboratory Systems, 2021, 卷号: 216, 页码: 1-15
作者:
Li S(李帅)
;
Zhou XF(周晓锋)
;
Shi HB(史海波)
;
Pan FC(潘福成)
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2021/07/17
Bayesian inference
Dynamic non-Gaussian hybrid serial modeling
Hybrid serial similarity factor
Multivariate non-Gaussianity evaluation
Process monitoring
An Adaptive Surrogate Modeling Based on Deep Neural Networks for Large-Scale Bayesian Inverse Problems
期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2020, 卷号: 28, 期号: 5, 页码: 2180-2205
作者:
Yan, Liang
;
Zhou, Tao
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  |  
浏览/下载:61/0
  |  
提交时间:2021/01/14
Bayesian inverse problems
deep neural networks
multi-fidelity surrogate modeling
Markov chain Monte Carlo
A Minimum-Cost Modeling Method for Nonlinear Industrial Process Based on Multimodel Migration and Bayesian Model Averaging Method
期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2020, 卷号: 17, 期号: 2, 页码: 947-956
作者:
Chu, Fei
;
Dai, Bangwu
;
Ma, Xiaoping
;
Wang, Fuli
;
Ye, Bin
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  |  
浏览/下载:16/0
  |  
提交时间:2020/06/22
Predictive models
Data models
Adaptation models
Process control
Computational modeling
Integrated circuit modeling
Bayes methods
Bayesian model averaging (BMA)
minimum cost
multimodel migration
nonlinear
performance prediction
Adaptive multi-fidelity polynomial chaos approach to Bayesian inference in inverse problems
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2019, 卷号: 381, 页码: 110-128
作者:
Yan, Liang
;
Zhou, Tao
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  |  
浏览/下载:108/0
  |  
提交时间:2019/03/11
Bayesian inverse problems
Multi-fidelity polynomial chaos
Surrogate modeling
Markov chain Monte Carlo
Evaluation of a Straight-Ray Forward Model for Bayesian Inversion of Crosshole Ground Penetrating Radar Data
期刊论文
ELECTRONICS, 2019, 卷号: 8, 页码: 630
作者:
Qin, Hui
;
Xie, Xiongyao
;
Tang, Yu
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2019/12/02
crosshole ground penetrating radar (GPR)
Bayesian inversion
Markov chain Monte Carlo (MCMC)
forward model
modeling error
discrete cosine transform (DCT)
Integrating macro- and micro-level safety analyses: a Bayesian approach incorporating spatial interaction
期刊论文
Transportmetrica A: Transport Science, 2019, 卷号: 15, 期号: 2, 页码: 285-306
作者:
Cai, Qing*
;
Abdel-Aty, Mohamed
;
Lee, Jaeyoung
;
Huang, Helai
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/03
Bayesian modeling
Integrated model
hotspot identification
macro- and micro-level crash frequency
spatial interaction
Household income, active travel, and their interacting impact on body mass index in a sample of urban Canadians: a Bayesian spatial analysis
期刊论文
INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS, 2019, 卷号: 18
作者:
Luan, Hui
;
Ramsay, Dana
;
Fuller, Daniel
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
Body mass index (BMI)
Multi-level model
Active travel
Socioeconomic deprivation
Bayesian spatial modeling
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