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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
作者:  Lan, Hui;  Liu, Ziquan;  Hsiao, Janet H.;  Yu, Dan;  Chan, Antoni B.
收藏  |  浏览/下载：152/0  |  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)  
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：188/0  |  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  
Model-free feature screening for ultrahigh dimensional classification 期刊论文
JOURNAL OF MULTIVARIATE ANALYSIS, 2020, 卷号: 178, 页码: 12
作者:  Sheng, Ying;  Wang, Qihua
收藏  |  浏览/下载：167/0  |  提交时间：2020/06/30
Classification accuracy  The Bayes rule  Sure screening  Ultrahigh dimensional classification  
Comparison of Computational Methods for Imputing Single-Cell RNA-Sequencing Data 期刊论文
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2020, 卷号: 17, 期号: 2, 页码: 376-389
作者:  Zhang, Lihua;  Zhang, Shihua
收藏  |  浏览/下载：164/0  |  提交时间：2020/05/24
Gene expression  Sequential analysis  Bioinformatics  RNA  Matrix converters  Computational biology  Bayes methods  Single-cell RNA-sequencing technique  dropout event  imputation  algorithm  bioinformatics  
Conditional probability estimation based classification with class label missing at random 期刊论文
JOURNAL OF MULTIVARIATE ANALYSIS, 2020, 卷号: 176, 页码: 13
作者:  Sheng, Ying;  Wang, Qihua
收藏  |  浏览/下载：158/0  |  提交时间：2020/05/24
Binary classification  Conditional probability estimation  Missing at random  Reproducing kernel Hilbert space