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北京大学 [13]

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	Distributed Fault-Tolerant Bipartite Output Synchronization of Discrete-Time Linear Multiagent Systems 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2022 作者: Zhang, Jie; Ding, Da-Wei; Lu, Yanrong; Deng, Chao; Ren, Yingying 收藏 \| 浏览/下载：17/0 \| 提交时间：2022/03/01 Synchronization Observers Fault tolerant systems Fault tolerance Regulation Eigenvalues and eigenfunctions Symmetric matrices Bipartite output synchronization directed signed graph fault-tolerant control (FTC) multiagent systems (MASs)
	Long-loop feedback vertex set and dismantling on bipartite factor graphs 期刊论文 PHYSICAL REVIEW E, 2021, 卷号: 103, 期号: 6, 页码: L061302 作者: Li, Tianyi; Zhang, Pan; Zhou, Hai-Jun 收藏 \| 浏览/下载：79/0 \| 提交时间：2021/09/27 COMMUNITY STRUCTURE COMPLEX NETWORKS
	FROM INDEPENDENT SETS AND VERTEX COLORINGS TO ISOTROPIC SPACES AND ISOTROPIC DECOMPOSITIONS: ANOTHER BRIDGE BETWEEN GRAPHS AND ALTERNATING MATRIX SPACES 期刊论文 SIAM JOURNAL ON COMPUTING, 2021, 卷号: 50, 期号: 3, 页码: 924-971 作者: Bei, Xiaohui; Chen, Shiteng; Guan, Ji; Qiao, Youming; Sun, Xiaoming 收藏 \| 浏览/下载：15/0 \| 提交时间：2021/12/01 independent set vertex coloring alternating matrix spaces isotropic space isotropic decomposition exact exponential algorithms
	Network dismantling on factor graphs: break long loops and spare local structures 期刊论文 NEW JOURNAL OF PHYSICS, 2021, 卷号: 23, 期号: 10, 页码: 103014 作者: Li, Tianyi 收藏 \| 浏览/下载：13/0 \| 提交时间：2023/01/16
	An efficient framework for unsupervised feature selection 期刊论文 NEUROCOMPUTING, 2019, 卷号: 366, 页码: 194-207 作者: Zhang, Han; Zhang, Rui; Nie, Feiping; Li, Xuelong 收藏 \| 浏览/下载：96/0 \| 提交时间：2019/10/18 Efficient unsupervised feature selection Bipartite graph Discrete indicator matrix Uncorrelated regression model
	Sampling online social networks by random walk with indirect jumps 期刊论文 Data Mining and Knowledge Discovery, 2019, 卷号: 33, 页码: 24-57 作者: Zhao, Junzhou; Wang, Pinghui; Lui, John C. S.; Towsley, Don; Guan, Xiaohong 收藏 \| 浏览/下载：31/0 \| 提交时间：2019/11/19 Auxiliary graph Bipartite graphs Estimation theory Graph samplings Layered network On-line social networks Random Walk Real-world networks
	Dense D2D-Connection establishment via caching in small-cell networks 会议论文 24th Asia-Pacific Conference on Communications, APCC 2018, Ningbo, China, 2018-11-12 作者: Liu, Xiaonan; Zhao, Nan; Chen, Yunfei; Li, Zan; Zhang, Shun 收藏 \| 浏览/下载：30/0 \| 提交时间：2019/12/02 Cells Cytology Graph theory Scheduling Scheduling algorithms, Bipartite graphs Caching Caching scheme device-to-device Link scheduling Off-peak periods Small cell Networks Video traffic, Signal to noise ratio
	Robust Bipartite Output Containment of Heterogeneous Non-introspective MAS on Signed Digraphs 会议论文 Proceedings of the IEEE Conference on Decision and Control, 2018-12-17 作者: Zuo, S.; Lewis, F.L.; Liu, H.; Davoudi, A. 收藏 \| 浏览/下载：15/0 \| 提交时间：2019/12/30 Directed graphs Graph theory Robust control State feedback Uncertainty analysis Antagonistic interactions Containment control Dynamic output feedback control Heterogeneous multi-agent systems Internal model principle Output feedback design Relative information Uncertain parameters Multi agent systems
	Procrastination-aware Scheduling: A Bipartite Graph Perspective 会议论文 2019 IEEE 35TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2019), 2019-01-01 作者: Wang, Libin; Tong, Yongxin; Hu, Chunming; Chen, Lei; Li, Yiming 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/30 Approximation algorithms Economics Scheduling Behavioral economics Bipartite graphs Control failure Effectiveness and efficiencies Efficient time NP-hard Real data sets Scheduling problem Graph theory
	Adaptive Dynamic Bipartite Graph Matching: A Reinforcement Learning Approach 会议论文 2019 IEEE 35TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2019), 2019-01-01 作者: Wang, Yansheng; Tong, Yongxin; Long, Cheng; Xu, Pan; Xu, Ke 收藏 \| 浏览/下载：21/0 \| 提交时间：2019/12/30 Decision making Graph theory Learning algorithms Machine learning Pattern matching Bi-Partite graph matching Effectiveness and efficiencies Efficient implementation On-line algorithms Problem formulation Real time decision-making Reinforcement learning approach Synthetic datasets Reinforcement learning

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