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A novel AdaBoost framework with robust threshold and structural optimization Journal article
IEEE Transactions on Cybernetics, 2018,Volume: 48,Issue: 1,Page: 64-76
Authors:  Zhang P.-B.;  Yang Z.-X.
Favorite  |  View/Download:9/0  |  Submit date:2018/12/22
Adaboost Algorithm  Bounds Of Empirical Error  Ensemble Method  Generalization Error  Indoor Positioning System  Robust Threshold  Special Single-layer Neural Network  Structural Optimization  
On perturbation bounds of the linear complementarity problem Journal article
LINEAR & MULTILINEAR ALGEBRA, 2018,Volume: 66,Issue: 3,Page: 625-638
Authors:  Zheng, Hua;  Vong, Seakweng;  Li, Wen
Favorite  |  View/Download:11/0  |  Submit date:2018/10/30
Perturbation Bound  Sign Patterns  Linear Complementarity Problems  
A MnO2 nanosheet-assisted GSH detection platform using an iridium(III) complex as a switch-on luminescent probe Journal article
NANOSCALE, 2017,Volume: 9,Issue: 14,Page: 4677-4682
Authors:  Dong, Zhen-Zhen;  Lu, Lihua;  Ko, Chung-Nga;  Yang, Chao;  Li, Shengnan;  Lee, Ming-Yuen;  Leung, Chung-Hang;  Ma, Dik-Lung
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Error analysis for the semi-supervised algorithm under maximum correntropy criterion Journal article
NEUROCOMPUTING, 2017,Volume: 223,Page: 45-53
Authors:  Zuo, Ling;  Wang, Yulong
Favorite  |  View/Download:11/0  |  Submit date:2018/10/30
Semi-supervised learning  Correntropy  Excess generalization error  Manifold error  
Generalization Performance of Regularized Ranking with Multiscale Kernels Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2016,Volume: 27,Issue: 5,Page: 993-1002
Authors:  Zhou Y.;  Chen H.;  Lan R.;  Pan Z.
Favorite  |  View/Download:1/0  |  Submit date:2018/12/21
Drug Discovery  Generalization Performance  Multiscale Kernel  Ranking  Recommendation Tasks  Reproducing Kernel Hilbert Space (Rkhs)  
Weighted coverage based reviewer assignment Conference paper
Proceedings of the ACM SIGMOD International Conference on Management of Data, Melbourne, AUSTRALIA, MAY 31-JUN 04, 2015
Authors:  Kou N.M.;  Hou L.U.;  Mamoulis N.;  Gong Z.
Favorite  |  View/Download:4/0  |  Submit date:2019/02/12
Group Coverage  Paper Reviewer Assignment  Stage Deepening Greedy  
The Generalization Ability of Online SVM Classification Based on Markov Sampling Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2015,Volume: 26,Issue: 3,Page: 628-639
Authors:  Jie Xu;  Yuan Yan Tang;  Bin Zou;  Zongben Xu;  Luoqing Li;  Yang Lu
Favorite  |  View/Download:1/0  |  Submit date:2019/04/30
Generalization Ability  Markov Sampling  Online Support Vector Machine (Svm) Classification  Uniformly Ergodic Markov Chain (U.e.m.c.)  
Generalization ability of extreme learning machine with uniformly ergodic Markov chains Journal article
Neurocomputing, 2015,Volume: 167,Page: 528-534
Authors:  Yuan P.;  Chen H.;  Zhou Y.;  Deng X.;  Zou B.
Favorite  |  View/Download:4/0  |  Submit date:2018/12/21
Extreme Learning Machine  Generalization Ability  Uniformly Ergodic Markov Chain  
A Robust AdaBoost.RT Based Ensemble Extreme Learning Machine Journal article
Mathematical Problems in Engineering, 2015,Volume: 2015
Authors:  Zhang P.;  Yang Z.
Favorite  |  View/Download:3/0  |  Submit date:2018/12/22
Support vector machine adapted Tikhonov regularization method to solve Dirichlet problem Journal article
Applied Mathematics and Computation, 2014,Volume: 245,Page: 509-519
Authors:  Mo Y.;  Qian T.
Favorite  |  View/Download:3/0  |  Submit date:2019/02/11
Dirichlet Problem  Gaussian Rkhs  Reproducing Kernel  Sobolev Space  Support Vector Machine  Tikhonov Regularization