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Joint sparse matrix regression and nonnegative spectral analysis for two-dimensional unsupervised feature selection Journal article
Pattern Recognition, 2019,Volume: 89,Page: 119-133
Authors:  Yuan H.;  Li J.;  Lai L.L.;  Tang Y.Y.
Favorite  |  View/Download:13/0  |  Submit date:2019/02/11
Nonnegative spectral analysis  Sparse matrix regression  Two-dimensional feature selection  Unsupervised learning  
A Regularized Variable Projection Algorithm for Separable Nonlinear Least-Squares Problems Journal article
IEEE Transactions on Automatic Control, 2019,Volume: 64,Issue: 2,Page: 526-537
Authors:  Chen G.-Y.;  Gan M.;  Chen C.L.P.;  Li H.-X.
Favorite  |  View/Download:7/0  |  Submit date:2019/02/11
Data fitting  regularization  separable nonlinear least squares (SNLLS)  variable projection (VP)  weighted generalized cross validation (WGCV)  
SeqViews2SeqLabels: Learning 3D global features via aggregating sequential views by RNN with attention Journal article
IEEE Transactions on Image Processing, 2019,Volume: 28,Issue: 2,Page: 658-672
Authors:  Han Z.;  Shang M.;  Liu Z.;  Vong C.-M.;  Liu Y.-S.;  Zwicker M.;  Han J.;  Chen C.L.P.
Favorite  |  View/Download:8/0  |  Submit date:2019/02/14
3d Feature Learning  Attention  Rnn  Sequential Labels  Sequential Views  View Aggregation  
Neural-Dynamic Optimization-Based Model Predictive Control for Tracking and Formation of Nonholonomic Multirobot Systems Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 12,Page: 6113-6122
Authors:  Li, Zhijun;  Yuan, Wang;  Chen, Yao;  Ke, Fan;  Chu, Xiaoli;  Chen, C. L. Philip
Favorite  |  View/Download:4/0  |  Submit date:2019/01/17
Formation control  multiple mobile robots  neural-dynamic optimization  nonlinear model predictive control (NMPC)  
Neural-dynamic optimization-based model predictive control for tracking and formation of nonholonomic multirobot systems Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2018,Volume: 29,Issue: 12,Page: 6113-6122
Authors:  Li Z.;  Yuan W.;  Chen Y.;  Ke F.;  Chu X.;  Chen C.L.P.
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Formation control  multiple mobile robots  neural-dynamic optimization  nonlinear model predictive control (NMPC)  
Single and Simultaneous Fault Diagnosis With Application to a Multistage Gearbox: A Versatile Dual-ELM Network Approach Journal article
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018,Volume: 14,Issue: 12,Page: 5245-5255
Authors:  Yang, Zhi-Xin;  Wang, Xian-Bo;  Wong, Pak Kin
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Extreme Learning Machines (Elm)  Fault Diagnosis  Local Mean Decomposition (Lmd)  Single And Simultaneous Faults  Multistage Gearbox  
Kestrel-Based Search Algorithm (KSA) for parameter tuning unto Long Short Term Memory (LSTM) Network for feature selection in classification of high-dimensional bioinformatics datasets Conference paper
Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, FedCSIS 2018
Authors:  Azbehadji I.E.;  Millham R.;  Fong S.J.;  Yang H.
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Deep learning  Kestrel-based search algorithm  Long short term memory network  Random encircling  
Optimized Multi-Agent Formation Control Based on an Identifier-Actor--Critic Reinforcement Learning Algorithm Journal article
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018,Volume: 26,Issue: 5,Page: 2719-2731
Authors:  Wen, Guoxing;  Chen, C. L. Philip;  Feng, Jun;  Zhou, Ning
View  |  Adobe PDF(984Kb)  |  Favorite  |  View/Download:173/24  |  Submit date:2018/10/30
Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)  
Optimized Multi-Agent Formation Control Based on an Identifier-Actor-Critic Reinforcement Learning Algorithm Journal article
IEEE Transactions on Fuzzy Systems, 2018,Volume: 26,Issue: 5,Page: 2719-2731
Authors:  Wen G.;  Chen C.L.P.;  Feng J.;  Zhou N.
Favorite  |  View/Download:2/0  |  Submit date:2019/02/11
Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)  
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.)