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Momentum Acceleration in the Individual Convergence of Nonsmooth Convex Optimization With Constraints 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 3, 页码: 1107-1118
作者:  Tao, Wei;  Wu, Gao-Wei;  Tao, Qing
收藏  |  浏览/下载：173/0  |  提交时间：2022/06/10
Heavy-ball (HB) methods  individual convergence  machine learning  momentum methods  nonsmooth optimization  sparsity  
Developing Learning Algorithms via Optimized Discretization of Continuous Dynamical Systems 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2012, 卷号: 42, 期号: 1;1, 页码: 140-149
作者:  Tao, Qing;  Sun, Zhengya;  Kong, Kang
收藏  |  浏览/下载：50/0  |  提交时间：2020/10/27
Dynamical Systems  Line Search  Machine Learning  Online Learning  Optimization Algorithms  Projected Subgradient Algorithms  Regret  
Stochastic Learning via Optimizing the Variational Inequalities 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 卷号: 25, 期号: 10;10, 页码: 1769-1778
作者:  Tao, Qing;  Gao, Qian-Kun;  Chu, De-Jun;  Wu, Gao-Wei
收藏  |  浏览/下载：29/0  |  提交时间：2020/10/27
Alternating Direction Method Of Multiplier (Admm)  Machine Learning  Online Learning  Optimization  Regret  Stochastic Learning  Variational Inequality (Vi)  
The Strength of Nesterov's Extrapolation in the Individual Convergence of Nonsmooth Optimization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 7, 页码: 2557-2568
作者:  Tao, Wei;  Pan, Zhisong;  Wu, Gaowei;  Tao, Qing
收藏  |  浏览/下载：214/0  |  提交时间：2020/08/03
Convergence  Extrapolation  Optimization  Acceleration  Machine learning  Task analysis  Machine learning algorithms  Individual convergence  machine learning  Nesterov's extrapolation  nonsmooth optimization  sparsity  
Primal Averaging: A New Gradient Evaluation Step to Attain the Optimal Individual Convergence 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 2, 页码: 835-845
作者:  Tao, Wei;  Pan, Zhisong;  Wu, Gaowei;  Tao, Qing
收藏  |  浏览/下载：190/0  |  提交时间：2020/03/30
Convergence  Convex functions  Machine learning  Optimization methods  Linear programming  Cybernetics  Individual convergence  machine learning  mirror descent (MD) methods  regularized learning problems  stochastic gradient descent (SGD)  stochastic optimization  
Machine Learning: The State of the Art 期刊论文
IEEE INTELLIGENT SYSTEMS, 2008, 卷号: 23, 期号: 6, 页码: 49-55
作者:  Wang, Jue;  Tao, Qing
收藏  |  浏览/下载：199/0  |  提交时间：2015/11/08
Machine Learning: The State of the Art 期刊论文
IEEE INTELLIGENT SYSTEMS, 2008, 卷号: 23, 期号: 6, 页码: 49-55
作者:  Wang, Jue;  Tao, Qing
收藏  |  浏览/下载：185/0  |  提交时间：2015/11/08
Recursive support vector machines for dimensionality reduction 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS, 2008, 卷号: 19, 期号: 1, 页码: 189-193
作者:  Tao, Qing;  Chu, Dejun;  Wang, Jue
收藏  |  浏览/下载：122/0  |  提交时间：2015/11/08
Classification  Dimensionality Reduction  Feature Extraction  Projection  Recursive Support Vector Machines (Rsvms)  Support Vector Machines (Svms).  
A general soft method for learning SVM classifiers with L-1-norm penalty 期刊论文
PATTERN RECOGNITION, 2008, 卷号: 41, 期号: 3, 页码: 939-948
作者:  Tao, Qing;  Wu, Gao-Wei;  Wang, Jue
收藏  |  浏览/下载：201/0  |  提交时间：2015/11/08
Support Vector Machines  Classification  Nu-svms  Nearest Points  Gilbert's Algorithms  Schlesinger-kozinec's Algorithms  Mitchell-dem'yanov-malozemov's Algorithms  Soft Convex Hulls  
Learning linear PCA with convex semi-definite programming 期刊论文
PATTERN RECOGNITION, 2007, 卷号: 40, 期号: 10, 页码: 2633-2640
作者:  Tao, Qing;  Wu, Gao-wei;  Wang, Jue
收藏  |  浏览/下载：190/0  |  提交时间：2015/11/08
Principal Component Analysis  Statistical Learning Theory  Support Vector Machines  Margin  Maximal Margin Algorithm  Semi-definite Programming  Robustness