CASIA OpenIR

浏览/检索结果: 共7条,第1-7条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Unruptured brain arteriovenous malformations causing seizures localize to one common brain network 期刊论文
JOURNAL OF NEUROSCIENCE RESEARCH, 2022, 页码: 11
作者:  Zhao, Shao-Zhi;  Zhao, Yu-Xin;  Liao, Xiao-Hua;  Huo, Ran;  Li, Hao;  Jiao, Yu-Ming;  Weng, Jian-Cong;  Wang, Jie;  Liu, Bing;  Cao, Yong
Adobe PDF(1891Kb)  |  收藏  |  浏览/下载:213/39  |  提交时间:2022/12/27
brain arteriovenous malformations  lesion network mapping  seizures  voxel-based lesion-symptom mapping  
On connections between Renyi entropy Principal Component Analysis, kernel learning and graph embedding 期刊论文
PATTERN RECOGNITION LETTERS, 2018, 卷号: 112, 页码: 125-130
作者:  Ran, Zhi-Yong;  Wang, Wei;  Hu, Bao-Gang
收藏  |  浏览/下载:221/0  |  提交时间:2019/12/16
Renyi Entropy  Pca  Kernel Learning  Graph Embedding  
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:322/96  |  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:401/113  |  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:301/73  |  提交时间:2015/09/17
Identifying Function  Structural Identifiability  Statistical Learning Machine  Kullback-leibler Divergence  Parameter Redundancy  Reparameterization  
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
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
Adobe PDF(515Kb)  |  收藏  |  浏览/下载:290/71  |  提交时间:2015/08/12
Identifiability  Parameter Learning Machine  Exhaustive Summary  Kullback-leibler Divergence  Parameter Redundancy