中国科学院重庆绿色智能技术研究院机构知识库

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限定条件	出处：IEEE TRANSACTIONS ON CYBERNETICS

已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择期刊影响因子升序期刊影响因子降序作者升序作者降序题名升序题名降序WOS被引频次升序WOS被引频次降序发表日期升序发表日期降序提交时间升序提交时间降序
	A Kalman-Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 14 作者:  Yuan, Ye;  Luo, Xin;  Shang, Mingsheng;  Wang, Zidong 收藏  |  浏览/下载：65/0  |  提交时间：2022/08/22 Quality of service  Data models  Kalman filters  Estimation  Computational modeling  Web services  Heuristic algorithms  Alternating least squares (ALSs)  computational intelligence  data science  dynamic latent factor analysis (LFA)  dynamics  intelligent computing  Kalman filter  temporal pattern  Web service
	Distributed and Time-Delayed k-Winner-Take-All Network for Competitive Coordination of Multiple Robots 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 12 作者:  Jin, Long;  Liang, Siqi;  Luo, Xin;  Zhou, Mengchu 收藏  |  浏览/下载：63/0  |  提交时间：2022/08/22 Mathematical models  Delay effects  Task analysis  Robot kinematics  Multi-robot systems  Robustness  Heuristic algorithms  Competitive coordination  distributed control  intelligent network  k-winner-take-all (kWTA)  multirobot system  optimization  time delay
	Growing Echo State Network With an Inverse-Free Weight Update Strategy 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 12 作者:  Chen, Xiufang;  Luo, Xin;  Jin, Long;  Li, Shuai;  Liu, Mei 收藏  |  浏览/下载：63/0  |  提交时间：2022/08/22 Reservoirs  Training  Computational modeling  Neurons  Topology  Standards  Numerical models  Echo state network (ESN)  inverse-free algorithm  incremental scheme  Schur complement  Sherman-Morrison formula
	An alpha -beta -Divergence-Generalized Recommender for Highly Accurate Predictions of Missing User Preferences 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 13 作者:  Shang, Mingsheng;  Yuan, Ye;  Luo, Xin;  Zhou, MengChu 收藏  |  浏览/下载：55/0  |  提交时间：2022/08/22 Computational modeling  Sparse matrices  Convergence  Data models  Predictive models  Linear programming  Euclidean distance  -divergence  big data  convergence analysis  high-dimensional and sparse (HiDS) data  momentum  machine learning  missing data estimation  non-negative latent factor analysis (NLFA)  recommender system (RS)
	Highly Efficient Framework for Predicting Interactions Between Proteins 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 3, 页码: 731-743 作者:  You, Zhu-Hong;  Zhou, MengChu;  Luo, Xin;  Li, Shuai Adobe PDF(1407Kb)  |  收藏  |  浏览/下载：221/0  |  提交时间：2018/03/15 Big data  feature extraction  kernel extreme learning machine (K-ELM)  low-rank approximation (LRA)  protein-protein interactions (PPIs)  support vector machine (SVM)