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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
Authors:  Evers, Jochem B.;  Letort, Veronique;  Renton, Michael;  Kang, Mengzhen
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Functional–structural Plant Modelling  
基于ROS的移动机器人定位与地图构建 学位论文
, 北京: 中国科学院研究生院, 2017
Authors:  隋景峰
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移动机器人  外参数标定  多传感器信息融合  自主定位  地图构建  
广义约束神经网络的约束施加方法研究及其在求解微分方程中的应用 学位论文
, 北京: 中国科学院研究生院, 2017
Authors:  曹林林
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广义约束神经网络  局部性原理  先验信息  微分方程  
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
Authors:  Du, Yuhui;  Lin, Dongdong;  Yu, Qingbao;  Sui, Jing;  Chen, Jiayu;  Rachakonda, Srinivas;  Adali, Tulay;  Calhoun, Vince D.;  Yuhui Du
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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
Authors:  Ran, Zhi-Yong;  Hu, Bao-Gang
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Parameter Identifiability  Statistical Machine Learning  
统计机器学习中参数可辨识性研究及其关键问题 期刊论文
自动化学报, 2017, 卷号: 43, 期号: 10, 页码: 1677-1686
Authors:  冉志勇;  胡包钢
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可辨识性  统计机器学习  参数估计  奇异学习理论  贝叶斯推断  
Reply to "Reply to 'Determining structural identifiability of parameter learning machines'" 期刊论文
NEUROCOMPUTING, 2016, 卷号: 218, 页码: 318-319
Authors:  Ran, Zhi-Yong;  Hu, Bao-Gang
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Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling 期刊论文
IEEE Journal of Selected Topics in Signal Processing, 2016, 卷号: 7, 期号: 10, 页码: 1134-1149
Authors:  Rogers F. Silva;  Sergey M. Plis;  Sui Jing(隋婧);  Marios S. Pattichis;  Tülay Adalı;  Vince D. Calhoun
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Bss  Neuroimaging  Unimodal  Multimodality  Multiset Data Analysis  Overview  Subspace  Unify  
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
Authors:  Ran, Zhi-Yong;  Hu, Bao-Gang
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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, 2015, 卷号: 19, 期号: 7, 页码: 1021–1031
Authors:  Wang JP(王军平);  JUNPING WANG
View  |  Adobe PDF(1064Kb)  |  Favorite  |  View/Download:68/11  |  Submit date:2016/10/20
Internet Of Thing  Predictive Manufacturing  Online Anomaly Learning And Detection