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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
Authors:  Lan, Hui;  Liu, Ziquan;  Hsiao, Janet H.;  Yu, Dan;  Chan, Antoni B.
Favorite  |  View/Download：64/0  |  Submit date：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
Authors:  Wang, Haohui;  Zhang, Chihao;  Zhang, Shihua
Favorite  |  View/Download：91/0  |  Submit date：2021/10/26
Bayesian method  Matrix decomposition  Maximum a posterior  Mixture of Gaussians  
The Asymptotic Behavior of Bootstrap Support Values in Molecular Phylogenetics 期刊论文
SYSTEMATIC BIOLOGY, 2021, 卷号: 70, 期号: 4, 页码: 774-785
Authors:  Huang, Jun;  Liu, Yuting;  Zhu, Tianqi;  Yang, Ziheng
Favorite  |  View/Download：89/0  |  Submit date：2021/10/26
Bootstrap  model selection  star-tree paradox  support value  
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
Authors:  Zhang, Chihao;  Zhang, Shihua
Favorite  |  View/Download：108/0  |  Submit date：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