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Multimodal deep generative adversarial models for scalable doubly semi-supervised learning 期刊论文
INFORMATION FUSION, 2021, 卷号: 68, 页码: 118-130
作者:  Du, Changde;  Du, Changying;  He, Huiguang
Adobe PDF(2917Kb)  |  收藏  |  浏览/下载：197/37  |  提交时间：2021/03/29
Multiview learning  Multimodal fusion  Generative adversarial networks  Deep generative models  Semi-supervised learning  
Computational botany: advancing plant science through functional-structural plant modelling PREFACE 期刊论文
ANNALS OF BOTANY, 2018, 卷号: 121, 期号: 5, 页码: 767-772
作者:  Evers, Jochem B.;  Letort, Veronique;  Renton, Michael;  Kang, Mengzhen
浏览  |  Adobe PDF(827Kb)  |  收藏  |  浏览/下载：238/59  |  提交时间：2018/10/10
Functional–structural Plant Modelling  
Comparison of IVA and GIG-ICA in Brain Functional Network Estimation Using fMRI Data 期刊论文
FRONTIERS IN NEUROSCIENCE, 2017, 卷号: 11, 期号: 2017-5-19, 页码: 267
作者:  Du, Yuhui;  Lin, Dongdong;  Yu, Qingbao;  Sui, Jing;  Chen, Jiayu;  Rachakonda, Srinivas;  Adali, Tulay;  Calhoun, Vince D.;  Yuhui Du
浏览  |  Adobe PDF(10014Kb)  |  收藏  |  浏览/下载：298/62  |  提交时间：2018/01/08
Functional Magnetic Resonance Imaging (Fmri)  Brain Functional Networks  Independent Component Analysis (Ica)  Group Information Guided Ica (gig-Ica)  Independent Vector Analysis (Iva)  
Parameter Identifiability in Statistical Machine Learning: A Review 期刊论文
NEURAL COMPUTATION, 2017, 卷号: 29, 期号: 5, 页码: 1151-1203
作者:  Ran, Zhi-Yong;  Hu, Bao-Gang
浏览  |  Adobe PDF(466Kb)  |  收藏  |  浏览/下载：324/97  |  提交时间：2017/07/18
Parameter Identifiability  Statistical Machine Learning  
Reply to "Reply to 'Determining structural identifiability of parameter learning machines'" 期刊论文
NEUROCOMPUTING, 2016, 卷号: 218, 页码: 318-319
作者:  Ran, Zhi-Yong;  Hu, Bao-Gang
Adobe PDF(203Kb)  |  收藏  |  浏览/下载：405/114  |  提交时间：2017/02/14
An identifying function approach for determining parameter structure of statistical learning machines 期刊论文
NEUROCOMPUTING, 2015, 卷号: 162, 页码: 209-217
作者:  Ran, Zhi-Yong;  Hu, Bao-Gang
Adobe PDF(386Kb)  |  收藏  |  浏览/下载：304/73  |  提交时间：2015/09/17
Identifying Function  Structural Identifiability  Statistical Learning Machine  Kullback-leibler Divergence  Parameter Redundancy  Reparameterization  
A new online anomaly learning and detection for large-scale service of Internet of Thing 期刊论文
Personal and Ubiquitous Computing, Personal and Ubiquitous Computing, Personal and Ubiquitous Computing, Personal and Ubiquitous Computing, 2015, 2015, 2015, 2015, 卷号: 19, 19, 19, 19, 期号: 7, 页码: 1021–1031, 1021–1031, 1021–1031, 1021–1031
作者:  Wang JP(王军平);  JUNPING WANG
浏览  |  Adobe PDF(1064Kb)  |  收藏  |  浏览/下载：356/117  |  提交时间：2016/10/20
Internet Of Thing  Internet Of Thing  Internet Of Thing  Internet Of Thing  Predictive Manufacturing  Predictive Manufacturing  Predictive Manufacturing  Predictive Manufacturing  Online Anomaly Learning And Detection  Online Anomaly Learning And Detection  Online Anomaly Learning And Detection  Online Anomaly Learning And Detection  
Determining parameter identifiability from the optimization theory framework: A Kullback-Leibler divergence approach 期刊论文
NEUROCOMPUTING, 2014, 卷号: 142, 期号: 2, 页码: 307-317
作者:  Ran, Zhi-Yong;  Hu, Bao-Gang
浏览  |  Adobe PDF(563Kb)  |  收藏  |  浏览/下载：260/62  |  提交时间：2015/08/12
Identifiability  Optimization Theory  Kullback-leibler Divergence  Hessian Matrix  Jacobian Matrix  
Determining structural identifiability of parameter learning machines 期刊论文
NEUROCOMPUTING, 2014, 卷号: 127, 期号: 1, 页码: 88-97
作者:  Ran, Zhi-Yong;  Hu, Bao-Gang
浏览  |  Adobe PDF(515Kb)  |  收藏  |  浏览/下载：294/72  |  提交时间：2015/08/12
Identifiability  Parameter Learning Machine  Exhaustive Summary  Kullback-leibler Divergence  Parameter Redundancy  
What Are the Differences Between Bayesian Classifiers and Mutual-Information Classifiers? 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 卷号: 25, 期号: 2, 页码: 249-264
作者:  Hu, Bao-Gang
浏览  |  Adobe PDF(1314Kb)  |  收藏  |  浏览/下载：194/25  |  提交时间：2015/08/12
Abstaining Classifier  Bayes  Cost-sensitive Learning  Entropy  Error Types  Mutual Information  Reject Types