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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：259/0  |  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  
Multiparametric MRI Radiomic Model for Preoperative Predicting WHO/ISUP Nuclear Grade of Clear Cell Renal Cell Carcinoma 期刊论文
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2020, 页码: 10
作者:  Li, Qiong;  Liu, Yu-jia;  Dong, Di;  Bai, Xu;  Huang, Qing-bo;  Guo, Ai-tao;  Ye, Hui-yi;  Tian, Jie;  Wang, Hai-yi
收藏  |  浏览/下载：355/0  |  提交时间：2020/06/22
renal cell carcinoma  nuclear grade  radiomic  magnetic resonance imaging  
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：224/0  |  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