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A Fully Interpretable First-order TSK Fuzzy System and Its Training with Negative Entropic and Rule-stability-based Regularization Journal article
Zhou, Erhao, Vong, Chi Man, Nojima, Yusuke, Wang, Shitong. A Fully Interpretable First-order TSK Fuzzy System and Its Training with Negative Entropic and Rule-stability-based Regularization[J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 31(7), 2305 - 2319.
Authors:  Zhou, Erhao;  Vong, Chi Man;  Nojima, Yusuke;  Wang, Shitong
Favorite | TC[WOS]:10 TC[Scopus]:13  IF:10.7/9.7 | Submit date：2023/01/30
Entropic And Rule-stability-based Regularizer  First-order Takagi-sugeno-kang (Tsk) Fuzzy System  Fuzzy Rules  Gaussian Mixture Model (Gmm)  Generalization Performance  Interpretability  
Kernel modified optimal margin distribution machine for imbalanced data classification Journal article
Zhang, Xiaogang, Wang, Dingxiang, Zhou, Yicong, Chen, Hua, Cheng, Fanyong, Liu, Min. Kernel modified optimal margin distribution machine for imbalanced data classification[J]. Pattern Recognition Letters, 2019, 125, 325-332.
Authors:  Zhang, Xiaogang;  Wang, Dingxiang;  Zhou, Yicong;  Chen, Hua;  Cheng, Fanyong; et al.
Favorite | TC[WOS]:16 TC[Scopus]:18  IF:3.9/4.2 | Submit date：2022/05/17
Balanced Detection Rate  Generalization Performance  Imbalanced Data Classification  Kernel Modification  Margin Distribution  
Generalization Performance of Regularized Ranking with Multiscale Kernels Journal article
Zhou Yicong, Chen Hong, Lan Rushi, Pan Zhibin. Generalization Performance of Regularized Ranking with Multiscale Kernels[J]. IEEE Transactions on Neural Networks and Learning Systems, 2016, 27(5), 993-1002.
Authors:  Zhou Yicong;  Chen Hong;  Lan Rushi;  Pan Zhibin
Favorite | TC[WOS]:10 TC[Scopus]:9 | Submit date：2018/12/21
Drug Discovery  Generalization Performance  Multiscale Kernel  Ranking  Recommendation Tasks  Reproducing Kernel Hilbert Space (Rkhs)  
The Generalization Performance of Regularized Regression Algorithms Based on Markov Sampling Journal article
Bin Zou, Yuan Yan Tang, Zongben Xu, Luoqing Li, Jie Xu, Yang Lu. The Generalization Performance of Regularized Regression Algorithms Based on Markov Sampling[J]. IEEE Transactions on Cybernetics, 2014, 44(9), 1497 - 1507.
Authors:  Bin Zou;  Yuan Yan Tang;  Zongben Xu;  Luoqing Li;  Jie Xu; et al.
Favorite | TC[WOS]:17 TC[Scopus]:19  IF:9.4/10.3 | Submit date：2018/10/30
Generalization Performance  Markov Sampling  Regularized Regression Algorithms  Uniformly Ergodic Markov Chain  
Generalization performance of Gaussian kernels SVMC based on Markov sampling Journal article
Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu. Generalization performance of Gaussian kernels SVMC based on Markov sampling[J]. Neural Networks, 2014, 53, 40-51.
Authors:  Jie Xu;  Yuan Yan Tang;  Bin Zou;  Zongben Xu;  Luoqing Li; et al.
Favorite | TC[WOS]:15 TC[Scopus]:15  IF:6.0/7.9 | Submit date：2019/02/11
Gaussian Rbf Kernels  Generalization Performance  Markov Sampling  Svmc  Uniformly Ergodic Markov Chain (U.e.m.c.)  
Generalization Performance of Fisher Linear Discriminant Based on Markov Sampling Journal article
Bin Zou, Luoqing Li, Zongben Xu, Tao Luo, Yuan Yan Tang. Generalization Performance of Fisher Linear Discriminant Based on Markov Sampling[J]. IEEE Transactions on Neural Networks and Learning Systems, 2013, 24(2), 288-300.
Authors:  Bin Zou;  Luoqing Li;  Zongben Xu;  Tao Luo;  Yuan Yan Tang
Favorite | TC[WOS]:29 TC[Scopus]:30  IF:10.2/10.4 | Submit date：2019/02/11
Fisher Linear Discriminant (Fld)  Generalization Performance  Markov Sampling  Uniformly Ergodic Markov Chain