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Learning-based stabilization of Markov jump linear systems Journal article
Liu, Jason J.R., Ogura, Masaki, Li, Qiyu, Lam, James. Learning-based stabilization of Markov jump linear systems[J]. Neurocomputing, 2024, 586, 127618.
Authors:  Liu, Jason J.R.;  Ogura, Masaki;  Li, Qiyu;  Lam, James
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:5.5/5.5 | Submit date：2024/05/16
Markov Jump Linear Systems  Stabilization  Stochastic Gradient Descent  Stochastic Systems  
A probability approximation framework: Markov process approach Journal article
Chen, Peng, Shao, Qi Man, Xu, Lihu. A probability approximation framework: Markov process approach[J]. Annals of Applied Probability, 2023, 33(2), 1619-1659.
Authors:  Chen, Peng;  Shao, Qi Man;  Xu, Lihu
Favorite | TC[WOS]:1 TC[Scopus]:0  IF:1.4/1.9 | Submit date：2023/05/02
Euler–maruyama (Em) Discretization  Itô’s Formula  Markov Process  Normal Approximation  Online Stochastic Gradient Descent  Probability Approximation  Stable Process  Stochastic Differential Equation  Wasserstein-1 Distance  
Online Identification of Nonlinear Systems With Separable Structure Journal article
Chen, Guang Yong, Gan, Min, Chen, Long, Chen, C. L.P.. Online Identification of Nonlinear Systems With Separable Structure[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022, 35(6), 8695-8701.
Authors:  Chen, Guang Yong;  Gan, Min;  Chen, Long;  Chen, C. L.P.
Favorite | TC[WOS]:5 TC[Scopus]:5  IF:10.2/10.4 | Submit date：2023/01/30
Feedforward Neural Networks (Fnns)  Separable Nonlinear Models (Snlms)  Stochastic Gradient Descent (Sgd) Method  Variable Projection (Vp) Method  
Error analysis of stochastic gradient descent ranking Journal article
Hong Chen, Yi Tang, Luoqing Li, Yuan Yuan, Xuelong Li, Yuanyan Tang. Error analysis of stochastic gradient descent ranking[J]. IEEE Transactions on Cybernetics, 2013, 43(3), 898-909.
Authors:  Hong Chen;  Yi Tang;  Luoqing Li;  Yuan Yuan;  Xuelong Li; et al.
Favorite | TC[WOS]:21 TC[Scopus]:25  IF:9.4/10.3 | Submit date：2019/02/11
Error Analysis  Integral Operator  Ranking  Reproducing Kernel Hilbert Space  Sampling Operator  Stochastic Gradient Descent