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Non-probabilistic uncertainty quantification for dynamic characterization functions using complex ratio interval arithmetic operation of multidimensional parallelepiped model Journal article
Mechanical Systems and Signal Processing, 2021,Volume: 156
Authors:  Zhao,Meng Yun;  Yan,Wang Ji;  Yuen,Ka Veng;  Beer,Michael
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Complex interval division  Frequency response function  Interval analysis  Parallelepiped model  Structural health monitoring  Transmissibility  
A matrix sampling approach for efficient SimRank computation Journal article
Information Sciences, 2021,Volume: 556,Page: 1-26
Authors:  Lu,Juan;  Gong,Zhiguo;  Yang,Yiyang
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Matrix sampling  SimRank  Steepest descent  
Sampling sparse representations with randomized measurement langevin dynamics Journal article
ACM Transactions on Knowledge Discovery from Data, 2021,Volume: 15,Issue: 2
Authors:  Wang,Kafeng;  Xiong,Haoyi;  Bian,Jiang;  Zhu,Zhanxing;  Gao,Qian;  Guo,Zhishan;  Xu,Cheng Zhong;  Huan,Jun;  Dou,Dejing
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Compressive sensing  Hamiltonian Monte Carlo  LASSO  
Large System Analysis of Downlink MISO-NOMA System via Regularized Zero-Forcing Precoding with Imperfect CSIT Journal article
IEEE Communications Letters, 2020,Volume: 24,Issue: 11,Page: 2454-2458
Authors:  Zhang,Jun;  Zhu,Yongxu;  Ma,Shaodan;  Li,Xiao;  Wong,Kai Kit
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imperfect CSI  NOMA  regularized zero-forcing precoding  user clustering  
Painlevé VI, Painlevé III, and the Hankel determinant associated with a degenerate Jacobi unitary ensemble Journal article
Mathematical Methods in the Applied Sciences, 2020,Volume: 43,Issue: 15,Page: 9169-9184
Authors:  Min,Chao;  Chen,Yang
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degenerate Jacobi unitary ensemble  double scaling analysis  Hankel determinant  ladder operators  Painlevé equations  random matrix theory  
Approximate empirical kernel map-based iterative extreme learning machine for clustering Journal article
Neural Computing and Applications, 2020,Volume: 32,Issue: 12,Page: 8031-8046
Authors:  Chen,Chuangquan;  Vong,Chi Man;  Wong,Pak Kin;  Tai,Keng Iam
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Approximate empirical kernel map  Compact model  Extreme learning machine  Kernel learning  Maximum margin clustering  
Empirical likelihood ratio under infinite covariance matrix of the random vectors Journal article
Communications in Statistics - Theory and Methods, 2020
Authors:  Cheng,Conghua;  Liu,Zhi
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62G20  Confidence region  domain of attraction of normal law  empirical likelihood  infinite covariance matrix  
Linear statistics of random matrix ensembles at the spectrum edge associated with the Airy kernel Journal article
Nuclear Physics B, 2020,Volume: 950
Authors:  Min,Chao;  Chen,Yang
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Total-Effect Test is Superfluous for Establishing Complementary Mediation Journal article
Statistica Sinica, 2020
Authors:  Yingkai Jiang;  Xinshu Zhao;  Lixing Zhu;  Jun S. Liu;  Ke Deng
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Complementary Mediation  Hypothesis Testing  Linear Model  Mediation Analysis  Total-effect Test  
Smallest eigenvalue of large Hankel matrices at critical point: Comparing conjecture with parallelised computation Journal article
Applied Mathematics and Computation, 2019,Volume: 363
Authors:  Chen,Yang;  Sikorowski,J.;  Zhu,Mengkun
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Extremely ill-conditioned Hankel matrices  Parallel eigensolver  Random matrix  Smallest eigenvalue