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Online reinforcement learning for continuous-state systems 专著章节/文集论文
出自: Frontiers of Intelligent Control and Information Processing, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore:World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, 2014
作者:  Yuanheng Zhu;  Zhao DB(赵冬斌)
Adobe PDF(24150Kb)  |  收藏  |  浏览/下载:240/26  |  提交时间:2017/09/13
Application of a probabilistic model for analysing the abortion of seeds and pods in winter oilseed rape (Brassica napus) 期刊论文
Annals of Applied Biology, 2014, 卷号: 165, 期号: 3, 页码: 414-428
作者:  Wang, Xiujuan;  Mathieu, A.;  De Reffye, P.;  Cournède, P.H.;  Zhang, B.G.
浏览  |  Adobe PDF(779Kb)  |  收藏  |  浏览/下载:295/54  |  提交时间:2016/04/13
Parameter Estimation  Probabilistic Model  Seed And Pod Production  Winter Oilseed Rape  
User-centric Social Multimedia Computing 专著
Berlin Heidelberg:Springer, 2014
作者:  Sang, Jitao
Adobe PDF(5480Kb)  |  收藏  |  浏览/下载:352/86  |  提交时间:2016/03/30
Editorial of the Special Issue of the 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications (PMA'12) 期刊论文
ECOLOGICAL MODELLING, 2014, 卷号: 290, 页码: 1-2
作者:  Fourcaud, Thierry;  Kang, Mengzhen;  Dumont, Yves;  Guo, Yan
浏览  |  Adobe PDF(279Kb)  |  收藏  |  浏览/下载:216/40  |  提交时间:2015/09/18
冠状动脉介入仿真中创建解剖环境的关键技术研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2014
作者:  杨帆
Adobe PDF(6618Kb)  |  收藏  |  浏览/下载:248/0  |  提交时间:2015/09/02
医学影像处理  医学可视化  手术仿真  冠状动脉介入术  Medical Imaging  Medical Visualization  Surgical Simulation  Pci  
结合生物力学与光分布计算的植物功能结构模型参数优化 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2014
作者:  王浩宇
Adobe PDF(11015Kb)  |  收藏  |  浏览/下载:306/0  |  提交时间:2015/09/02
生物力学  冠层光环境  植物功能结构模型  Greenlab  可塑性  优化  Gpu  触形反应  Bio-mechanical Model  Canopy Light Distribution  Fspm  Greenlab  Plasticity  Optimization  Gpu  Thigmomorphogenesis  
Novel ITS based on Space-Air-Ground Collected Big-data 会议论文
IEEE International Conference on Intelligent Transportation Systems (ITSC), Qingdao, China, 2014
作者:  Gang Xiong;  Fenghua Zhu;  Haisheng Fan;  Xisong Dong;  Wenwen Kang;  Teng Teng
浏览  |  Adobe PDF(449Kb)  |  收藏  |  浏览/下载:289/74  |  提交时间:2015/08/19
Data-based Suboptimal Neuro-control Design with Reinforcement Learning for Dissipative Spatially Distributed Processes 期刊论文
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2014, 卷号: 53, 期号: 19, 页码: 8106-8119
作者:  Luo, Biao;  Wu, Huai-Ning;  Li, Han-Xiong
浏览  |  Adobe PDF(5283Kb)  |  收藏  |  浏览/下载:227/70  |  提交时间:2015/08/12
Data-based  
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:192/25  |  提交时间:2015/08/12
Abstaining Classifier  Bayes  Cost-sensitive Learning  Entropy  Error Types  Mutual Information  Reject Types  
A New Strategy of Cost-Free Learning in the Class Imbalance Problem 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2014, 卷号: 26, 期号: 12, 页码: 2872-2885
作者:  Zhang, Xiaowan;  Hu, Bao-Gang
浏览  |  Adobe PDF(2241Kb)  |  收藏  |  浏览/下载:213/60  |  提交时间:2015/08/12
Classification  Class Imbalance  Cost-free Learning  Cost-sensitive Learning  Abstaining  Mutual Information  Roc