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| Data-Driven Learning Control Algorithms for Unachievable Tracking Problems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 205-218
作者: Zeyi Zhang; Hao Jiang; Dong Shen; Samer S. Saab
 Adobe PDF(1892Kb) |  收藏 | 浏览/下载：97/66 | 提交时间：2024/01/02
Data-driven algorithms incomplete information iterative learning control gradient information unachievable problems |
| Bayesian Filtering for High-Dimensional State-Space Models With State Partition and Error Compensation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1239-1249
作者: Ke Li ; Shunyi Zhao; Biao Huang; Fei Liu
 Adobe PDF(1988Kb) | 收藏 | 浏览/下载：6/2 | 提交时间：2024/04/10
Bayesian estimation error compensation high-dimensional systems state estimation state partition |
| Knowledge Transfer Learning via Dual Density Sampling for Resource-Limited Domain Adaptation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2269-2291
作者: Zefeng Zheng; Luyao Teng; Wei Zhang; Naiqi Wu; Shaohua Teng
Adobe PDF(15412Kb) | 收藏 | 浏览/下载：87/22 | 提交时间：2023/10/31
Cross-domain risk dual density sampling intra-domain risk maximum mean discrepancy knowledge transfer learning resource-limited domain adaptation |
| A Survey on Negative Transfer 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 2, 页码: 305-329
作者: Wen Zhang; Lingfei Deng; Lei Zhang; Dongrui Wu
Adobe PDF(2739Kb) | 收藏 | 浏览/下载：218/95 | 提交时间：2023/01/16
Domain adaptation domain similarity negative transfer positive transfer transfer learning |
| Machine Learning for Brain Imaging Genomics Methods: A Review 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 57-78
作者: Mei-Ling Wang
Adobe PDF(2285Kb) | 收藏 | 浏览/下载：224/80 | 提交时间：2023/01/18
Brain imaging genomics machine learning multivariate analysis association analysis outcome prediction |
| Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1361-1387
作者: Sibo Cheng; César Quilodrán-Casas; Said Ouala; Alban Farchi; Che Liu; Pierre Tandeo; Ronan Fablet; Didier Lucor; Bertrand Iooss; Julien Brajard; Dunhui Xiao; Tijana Janjic; Weiping Ding; Yike Guo; Alberto Carrassi; Marc Bocquet; Rossella Arcucci
Adobe PDF(17725Kb) | 收藏 | 浏览/下载：83/28 | 提交时间：2023/05/29
Data assimilation (DA) deep learning machine learning (ML) reduced-order-modelling uncertainty quantification (UQ) |
| Visual Superordinate Abstraction for Robust Concept Learning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 79-91
作者: Qi Zheng
Adobe PDF(2703Kb) | 收藏 | 浏览/下载：198/43 | 提交时间：2023/01/18
Concept learning visual question answering weakly-supervised learning multi-modal learning curriculum learning |
| Distributed Momentum-Based Frank-Wolfe Algorithm for Stochastic Optimization 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 3, 页码: 685-699
作者: Jie Hou; Xianlin Zeng; Gang Wang; Jian Sun; Jie Chen
Adobe PDF(2289Kb) | 收藏 | 浏览/下载：132/46 | 提交时间：2023/03/02
Distributed optimization Frank-Wolfe (FW) algorithms momentum-based method stochastic optimization |
| 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：138/28 | 提交时间：2022/04/24
Crowdsourcing data fusion learning from crowds learning paradigms learning with uncertainty |
| Cooperative and Competitive Multi-Agent Systems: From Optimization to Games 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 5, 页码: 763-783
作者: Jianrui Wang; Yitian Hong; Jiali Wang; Jiapeng Xu; Yang Tang; Qing-Long Han; Jürgen Kurths
Adobe PDF(8407Kb) | 收藏 | 浏览/下载：177/52 | 提交时间：2022/04/24
Cooperative games counterfactual regret min- imization distributed optimization federated optimization fictitious self-play mean field games multi-agent reinforcement learning non-cooperative games |
