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Manifold Regularized Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 932-943
作者:  Li, Hongliang;  Liu, Derong;  Wang, Ding
收藏  |  浏览/下载：173/0  |  提交时间：2018/10/10
Adaptive Dynamic Programming  Approximate Dynamic Programming  Approximate Policy Iteration (Api)  Manifold Regularization  Reinforcement Learning (Rl)  
Feature Selection Based on Structured Sparsity: A Comprehensive Study 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 卷号: 28, 期号: 7, 页码: 1490-1507
作者:  Gui, Jie;  Sun, Zhenan;  Ji, Shuiwang;  Tao, Dacheng;  Tan, Tieniu
浏览  |  Adobe PDF(3835Kb)  |  收藏  |  浏览/下载：535/268  |  提交时间：2017/09/12
Dimensionality Reduction  Feature Selection  Sparse  Structured Sparsity  
MTC: A Fast and Robust Graph-Based Transductive Learning Method 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 9, 页码: 1979-1991
作者:  Zhang, Yan-Ming;  Huang, Kaizhu;  Geng, Guang-Gang;  Liu, Cheng-Lin
浏览  |  Adobe PDF(3026Kb)  |  收藏  |  浏览/下载：294/46  |  提交时间：2015/10/13
Graph-based Method  Large-scale Manifold Learning  Semisupervised Learning (Ssl)  Transductive Learning (Tl)  
Adaptive Optimal Control of Highly Dissipative Nonlinear Spatially Distributed Processes With Neuro-Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 4, 页码: 684-696
作者:  Luo, Biao;  Wu, Huai-Ning;  Li, Han-Xiong
浏览  |  Adobe PDF(2465Kb)  |  收藏  |  浏览/下载：301/90  |  提交时间：2016/03/30
Adaptive Optimal Control  Empirical Eigenfunction (Eef)  Highly Dissipative Partial Differential Equations (Pdes)  Neuro-dynamic Programming (Ndp)  Spatially Distributed Processes (Sdps)  
Discriminative Least Squares Regression for Multiclass Classification and Feature Selection 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2012, 卷号: 23, 期号: 11, 页码: 1738-1754
作者:  Xiang, Shiming;  Nie, Feiping;  Meng, Gaofeng;  Pan, Chunhong;  Zhang, Changshui
浏览  |  Adobe PDF(725Kb)  |  收藏  |  浏览/下载：653/214  |  提交时间：2015/09/18
Feature Selection  Least Squares Regression  Multiclass Classification  Sparse Learning