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Augmented Industrial Data-Driven Modeling Under the Curse of Dimensionality 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1445-1461
作者:  Xiaoyu Jiang;  Xiangyin Kong;  Zhiqiang Ge
Adobe PDF(25936Kb)  |  收藏  |  浏览/下载：107/35  |  提交时间：2023/05/29
Curse of dimensionality  data augmentation  data-driven modeling  industrial processes  machine learning  
Parallel Vision for Long-tail Regularization: Initial Results from IVFC Autonomous Driving Testing 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2022, 页码: 14
作者:  Jiangong Wang;  Xiao Wang;  Tianyu Shen;  Yutong Wang;  Li Li;  Yonglin Tian;  Hui Yu;  Long Chen;  Jingmin Xin;  Xiangbin Wu;  Nanning Zheng;  Fei-Yue Wang
Adobe PDF(5843Kb)  |  收藏  |  浏览/下载：106/31  |  提交时间：2023/06/25
Knowledge Learning With Crowdsourcing: A Brief Review and Systematic Perspective 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 5, 页码: 749-762
作者:  Jing Zhang
Adobe PDF(1291Kb)  |  收藏  |  浏览/下载：139/28  |  提交时间：2022/04/24
Crowdsourcing  data fusion  learning from crowds  learning paradigms  learning with uncertainty  
Online reinforcement learning control by Bayesian inference 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2016, 卷号: 10, 期号: 12, 页码: 1331-1338
作者:  Xia, Zhongpu;  Zhao, Dongbin;  Dongbin Zhao
Adobe PDF(1559Kb)  |  收藏  |  浏览/下载：339/113  |  提交时间：2016/06/15
Learning Systems  Bayes Methods  Gaussian Processes  Optimal Control  Online Reinforcement Learning Control  Bayesian Inference  Self-learning Control  Probability  Action Value Function  Gaussian Process  Bayesian-state-action-reward-state-action Algorithm  
Representative Vector Machines: A Unified Framework for Classical Classifiers 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: 8, 页码: 1877-1888
作者:  Gui, Jie;  Liu, Tongliang;  Tao, Dacheng;  Sun, Zhenan;  Tan, Tieniu
浏览  |  Adobe PDF(1081Kb)  |  收藏  |  浏览/下载：404/98  |  提交时间：2016/10/20
Discriminant Vector Machine (Dvm)  Pattern Classification  Representative Vector Machines (Rvms)  Sparse Representation  Support Vector Machines (Svms)  
computational intelligence for changing environments 期刊论文
IEEE Computational Intelligence Magazine, 2015, 卷号: 11, 期号: 10(4), 页码: 10-11
作者:  Amir,Hussain;  Dacheng,Tao;  Jonathan,Wu;  Zhao,Dongbin(赵冬斌)
浏览  |  Adobe PDF(194Kb)  |  收藏  |  浏览/下载：201/52  |  提交时间：2017/12/30
Behavioral Science  Guest Editorial  Computational Intelligence  
A data-based online reinforcement learning algorithm satisfying probably approximately correct principle 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2015, 卷号: 26, 期号: 4, 页码: 775-787
作者:  Zhu, Yuanheng;  Zhao, Dongbin
Adobe PDF(1331Kb)  |  收藏  |  浏览/下载：252/60  |  提交时间：2015/09/21
Reinforcement Learning  Probably Approximately Correct  Kd-tree  
MEC-A Near-Optimal Online Reinforcement Learning Algorithm for Continuous Deterministic Systems 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 2, 页码: 346-356
作者:  Zhao, Dongbin;  Zhu, Yuanheng
浏览  |  Adobe PDF(2156Kb)  |  收藏  |  浏览/下载：256/106  |  提交时间：2015/09/18
Efficient Exploration  Probably Approximately Correct (Pac)  Reinforcement Learning (Rl)  State Aggregation  
大数据下的PAC-Bayesian学习理论综述 期刊论文
山西大学学报（自然科学版）, 2015, 卷号: 38, 期号: 3, 页码: 413-419
作者:  杨雪冰;  张文生;  杨阳
Adobe PDF(748Kb)  |  收藏  |  浏览/下载：675/237  |  提交时间：2018/01/03
Pac-bayesian界  学习理论  贝叶斯学习  大数据