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Multi-step ahead tourism demand forecasting: The perspective of the learning using privileged information paradigm 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 210, 页码: 12
作者:  Sun, Shaolong;  Li, Mingchen;  Wang, Shouyang;  Zhang, Chengyuan
收藏  |  浏览/下载：98/0  |  提交时间：2023/02/07
Tourism demand  Multi -step ahead forecasting  Privileged information  Machine learning  Kernel random vector functional link network  
Linear system design with application in wireless sensor networks 期刊论文
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION, 2022, 卷号: 27, 页码: 14
作者:  Gao, Kaiye;  Peng, Rui;  Qu, Li;  Xing, Liudong;  Wang, Shouyang;  Wu, Di
收藏  |  浏览/下载：122/0  |  提交时间：2023/02/07
Reliability  Cost  Signal coverage  Linear multi-state consecutively connected system  Universal generating function  Wireless sensor network  
MULTI-AGENT SOLVER FOR NON-NEGATIVE MATRIX FACTORIZATION BASED ON OPTIMIZATION 期刊论文
KYBERNETIKA, 2021, 卷号: 57, 期号: 1, 页码: 60-77
作者:  Tu, Zhipeng;  Li, Weijian
收藏  |  浏览/下载：164/0  |  提交时间：2021/04/26
distributed optimization  non-negative matrix factorization  multiplicative update rules  multi-agent network  
Distributed optimisation approach to least-squares solution of Sylvester equations 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2020, 卷号: 14, 期号: 18, 页码: 2968-2976
作者:  Deng, Wen;  Zeng, Xianlin;  Hong, Yiguang
收藏  |  浏览/下载：196/0  |  提交时间：2021/01/14
least squares approximations  distributed control  stability  distributed algorithms  continuous time systems  matrix algebra  convex programming  multi-robot systems  convex optimisation  distributed optimisation approach  least-squares solution  Sylvester equations  distributed algorithms  multiagent network  problem setup  interconnected system  local information  data matrices  neighbour agents  continuous-time algorithms  optimisation problem  
On weak Pareto optimality of nonatomic routing networks 期刊论文
JOURNAL OF COMBINATORIAL OPTIMIZATION, 2020, 页码: 19
作者:  Chen, Xujin;  Diao, Zhuo;  Hu, Xiaodong
收藏  |  浏览/下载：201/0  |  提交时间：2020/05/24
Nonatomic selfish routing  Nash equilibrium  Weakly Pareto optimal  Multi-commodity network  
Dynamic social balance and convergent appraisals via homophily and influence mechanisms 期刊论文
AUTOMATICA, 2019, 卷号: 110, 页码: 11
作者:  Mei, Wenjun;  Cisneros-Velarde, Pedro;  Chen, Ge;  Friedkin, Noah E.;  Bullo, Francesco
收藏  |  浏览/下载：187/0  |  提交时间：2020/05/24
Structural balance  Multi-agent systems  Homophily/Influence mechanisms  Nonlinear network dynamics  
Distributed optimisation design for solving the Stein equation with constraints 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2019, 卷号: 13, 期号: 15, 页码: 2492-2499
作者:  Chen, Guanpu;  Zeng, Xianlin;  Hong, Yiguang
收藏  |  浏览/下载：187/0  |  提交时间：2020/05/24
least squares approximations  gradient methods  convergence  matrix algebra  concave programming  multi-agent systems  distributed optimisation design  Stein equations  set constraints  rows  columns  coefficient matrices  equivalent distributed optimisation problem  projection-based algorithm  least-squares solution  constrained Stein equation  multiagent system network  simplified distributed algorithm  
A heterogeneous label propagation approach to explore the potential associations between miRNA and disease 期刊论文
Journal of Translational Medicine, 2018, 卷号: 16, 期号: 1
作者:  Chen,Xing;  Zhang,De-Hong;  You,Zhu-Hong
收藏  |  浏览/下载：262/0  |  提交时间：2019/01/07
miRNA  Disease  miRNA-disease association  Multi-network  Label propagation  
Distributed Consensus-Based K-Means Algorithm in Switching Multi-Agent Networks 期刊论文
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2018, 卷号: 31, 期号: 5, 页码: 1128-1145
作者:  Lin Peng;  Wang Yinghui;  Qi Hongsheng;  Hong Yiguang
收藏  |  浏览/下载：202/0  |  提交时间：2018/09/08
Consensus-based algorithm  distributed K-means clustering  multi-agent network  switching topology  
Distributed regression estimation with incomplete data in multi-agent networks 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2018, 卷号: 61, 期号: 9, 页码: 14
作者:  Wang, Yinghui;  Lin, Peng;  Hong, Yiguang
收藏  |  浏览/下载：237/0  |  提交时间：2018/07/30
multi-agent systems  time-varying network  estimation with incomplete data  online learning  stochastic approximation