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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：223/0  |  提交时间：2022/06/21
single-cell DNA sequencing  intra-tumor heterogeneity  single nucleotide variation  copy number alteration  Bayesian modeling  cancer evolution  
An interval decomposition-ensemble approach with data-characteristic-driven reconstruction for short-term load forecasting 期刊论文
APPLIED ENERGY, 2022, 卷号: 306, 页码: 16
作者:  Yang, Dongchuan;  Guo, Ju-E;  Sun, Shaolong;  Han, Jing;  Wang, Shouyang
收藏  |  浏览/下载：154/0  |  提交时间：2022/04/02
Short-term load forecasting  Bivariate empirical mode decomposition  Decomposition-ensemble approach  Reconstruction  Bayesian optimization  Long short-term memory network  
The impact of China's low-carbon transition on economy, society and energy in 2030 based on CO2 emissions drivers 期刊论文
ENERGY, 2022, 卷号: 239, 页码: 12
作者:  Shi, Huiting;  Chai, Jian;  Lu, Quanying;  Zheng, Jiali;  Wang, Shouyang
收藏  |  浏览/下载：161/0  |  提交时间：2022/04/02
CO2 emissions  Low-carbon economy  Transition impact  Bayesian 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
收藏  |  浏览/下载：124/0  |  提交时间：2022/04/02
Stein variational gradient decent  Bayesian inference  Deep learning  Local approximation  
A Gaussian Process Emulator Based Approach for Bayesian Calibration of a Functional Input 期刊论文
TECHNOMETRICS, 2021, 页码: 13
作者:  Li, Zhaohui;  Tan, Matthias Hwai Yong
收藏  |  浏览/下载：132/0  |  提交时间：2022/04/02
Bayesian calibration  Dimension reduction  Functional input  Sequential design  
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.
收藏  |  浏览/下载：211/0  |  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)  
Robust Bayesian matrix decomposition with mixture of Gaussian noise 期刊论文
NEUROCOMPUTING, 2021, 卷号: 449, 页码: 108-116
作者:  Wang, Haohui;  Zhang, Chihao;  Zhang, Shihua
收藏  |  浏览/下载：179/0  |  提交时间：2021/10/26
Bayesian method  Matrix decomposition  Maximum a posterior  Mixture of Gaussians  
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
收藏  |  浏览/下载：244/0  |  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  
AN ACCELERATION STRATEGY FOR RANDOMIZE-THEN-OPTIMIZE SAMPLING VIA DEEP NEURAL NETWORKS* 期刊论文
JOURNAL OF COMPUTATIONAL MATHEMATICS, 2021, 卷号: 39, 期号: 6, 页码: 848-864
作者:  Yan, Liang;  Zhou, Tao
收藏  |  浏览/下载：161/0  |  提交时间：2022/04/02
Bayesian inverse problems  Deep neural network  Markov chain Monte Carlo  
A survey and systematic assessment of computational methods for drug response prediction 期刊论文
BRIEFINGS IN BIOINFORMATICS, 2021, 卷号: 22, 期号: 1, 页码: 232-246
作者:  Chen, Jinyu;  Zhang, Louxin
收藏  |  浏览/下载：269/0  |  提交时间：2021/06/01
Drug response prediction  regression model  low rank matrix factorization based approach  Bayesian inference  deep learning  benchmark