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On input design for regularized LTI system identification: Power-constrained input 期刊论文
AUTOMATICA, 2018, 卷号: 97, 页码: 327-338
Authors:  Mu, Biqiang;  Chen, Tianshi
Favorite  |  View/Download：240/0  |  Submit date：2018/11/16
Input design  Bayesian mean square error  Kernel-based regularization  LTI system identification  Convex optimization  
A Novel Manifold Regularized Online Semi-supervised Learning Model 期刊论文
COGNITIVE COMPUTATION, 2018, 卷号: 10, 期号: 1, 页码: 49-61
Authors:  Ding, Shuguang;  Xi, Xuanyang;  Liu, Zhiyong;  Qiao, Hong;  Zhang, Bo
Favorite  |  View/Download：194/0  |  Submit date：2018/07/30
Human learning  Manifold regularization  Online semi-supervised learning  Lagrange dual problem  
Robust Novelty Detection via Worst Case CVaR Minimization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 9, 页码: 2098-2110
Authors:  Wang, Yongqiao;  Dang, Chuangyin;  Wang, Shouyang
Favorite  |  View/Download：82/0  |  Submit date：2018/07/30
Conditional value-at-risk (CVaR)  kernel methods  novelty detection  robust programming  single-class support vector machine (SSVM)