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Approximation of stable law in Wasserstein-1 distance by Stein’s method Journal article
ANNALS OF APPLIED PROBABILITY, 2019,Volume: 29,Issue: 1,Page: 458-504
Authors:  Xu, Lihu
Favorite  |  View/Download:8/0  |  Submit date:2019/01/17
Stable Approximation  Wasserstein-1 Distance (W-1 Distance)  Stein's Method  L-1 Discrepancy  Normal Domain Of Attraction Of Stable Law  Alpha-stable Processes  
Linear Statistics of Random Matrix Ensembles at the Spectrum Edge Associated with the Airy Kernel Journal article
arXiv, 2019
Authors:  Chao Min;  Yang Chen
Favorite  |  View/Download:2/0  |  Submit date:2019/07/22
Random Matrix Ensembles  Linear Statistics  Moment-generating Function  Airy Kernel  Mean And Variance  Asymptotics  
Sparse bayesian kernel multinomial probit regression model for high-dimensional data classification Journal article
Communications in Statistics - Theory and Methods, 2019,Volume: 48,Issue: 1,Page: 165-176
Authors:  Aijun Yang;  Xuejun Jiang;  Lianjie Shu;  Pengfei Liu
Favorite  |  View/Download:2/0  |  Submit date:2019/08/01
Correlation Prior  High-dimensional Data Classification  Multicategory Support Vector Machine  Sparse Bayesian Method  
The Riemann–Hilbert analysis to the Pollaczek–Jacobi type orthogonal polynomials Journal article
Studies in Applied Mathematics, 2019
Authors:  Min Chen;  Yang Chen;  En‐Gui Fan
Favorite  |  View/Download:1/0  |  Submit date:2019/06/03
Asymptotic Analysis  Mathematical Physics  
KARL: Fast Kernel Aggregation Queries Conference paper
Proceedings of the 35th IEEE International Conference on Data Engineering (ICDE), Macao, 2019
Authors:  Tsz Nam Chan;  Man Lung Yiu;  Leong Hou U
Favorite  |  View/Download:1/0  |  Submit date:2019/07/24
Critical edge behavior in the perturbed Laguerre unitary ensemble and the Painlevé V transcendent Journal article
Journal of Mathematical Analysis and Applications, 2019,Volume: 474,Issue: 1,Page: 572-611
Authors:  Chen M.;  Chen Y.;  Fan E.-G.
Favorite  |  View/Download:11/0  |  Submit date:2019/02/12
Deift–zhou Nonlinear Steepest Descent Method  Hankel Determinants  Painlevé v Equation  Perturbed Laguerre Weight  Riemann–hilbert Problem  
Empirical kernel map-based multilayer extreme learning machines for representation learning Journal article
NEUROCOMPUTING, 2018,Volume: 310,Page: 265-276
Authors:  Chi-Man Vong;  Chen, Chuangquan;  Wong, Pak-Kin
Favorite  |  View/Download:61/0  |  Submit date:2018/10/30
Kernel Learning  Multilayer Extreme Learning Machine (Ml-elm)  Empirical Kernel Map (Ekm)  Representation Learning  Stacked Autoencoder (Sae)  
Learning With Coefficient-Based Regularized Regression on Markov Resampling Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 9,Page: 4166-4176
Authors:  Li, Luoqing;  Li, Weifu;  Zou, Bin;  Wang, Yulong;  Tang, Yuan Yan;  Han, Hua
Favorite  |  View/Download:11/0  |  Submit date:2018/10/30
Coefficient-based regularized regression (CBRR)  learning rate  Markov resampling  uniformly ergodic Markov chain (u.e.M.c.)  
Shared Autoencoder Gaussian Process Latent Variable Model for Visual Classification Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 9,Page: 4272-4286
Authors:  Li, Jinxing;  Zhang, Bob;  Zhang, David
Favorite  |  View/Download:6/0  |  Submit date:2018/10/30
Autoencoder  discriminative  Gaussian process (GP)  kernel  latent variable model  multiview  
A combined Weisfeiler-Lehman graph kernel for structured data Journal article
INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING, 2018,Volume: 16,Issue: 5
Authors:  Xu, Lixiang;  Tang, Yuanyan;  Luo, Bin;  Cui, Lixin;  Chen, Xiu;  Xiao, Jin
Favorite  |  View/Download:7/0  |  Submit date:2018/10/30
Graph kernel  graph classification  Weisfeiler-Lehman algorithm  combined graph kernel