Bin Zou

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 25

Top Topics

Svm Classification

Generalization Ability

Top Venues

IEEE Trans. Cybern.

Int. J. Wavelets Multiresolution Inf. Process.

IEEE Trans. Neural Networks Learn. Syst.

Knowl. Based Syst.

Publications

Jiawen Gong, Bin Zou, Chen Xu, Jie Xu, Xinge You
Hybrid learning based on Fisher linear discriminant. Inf. Sci. 667 (2024)
Zijie Dong, Chen Xu, Jie Xu, Bin Zou, Jingjing Zeng, Yuan Yan Tang
Generalization capacity of multi-class SVM based on Markovian resampling. Pattern Recognit. 142 (2023)
Bin Zou, Hongwei Jiang, Chen Xu, Jie Xu, Xinge You, Yuan Yan Tang
Learning Performance of Weighted Distributed Learning With Support Vector Machines. IEEE Trans. Cybern. 53 (7) (2023)
Haibo Yang, Yulong Ji, Yanfeng Pan, Bin Zou, Yingxiong Fu
Differentially private distributed logistic regression with the objective function perturbation. Int. J. Wavelets Multiresolution Inf. Process. 21 (1) (2023)
Zijie Dong, Yimo Qin, Bin Zou, Jie Xu, Yuan Yan Tang
LMSVCR: novel effective method of semi-supervised multi-classification. Neural Comput. Appl. 34 (5) (2022)
Ting Liang, Jie Xu, Bin Zou, Zhan Wang, Jingjing Zeng
LDAMSS: Fast and efficient undersampling method for imbalanced learning. Appl. Intell. 52 (6) (2022)
Zijie Dong, Jiawen Gong, Bin Zou, Yichi Wang, Jie Xu
Generalization and learning rate of multi-class support vector classification and regression. Int. J. Wavelets Multiresolution Inf. Process. 20 (5) (2022)
Yimo Qin, Bin Zou, Jingjing Zeng, Zhifei Sheng, Lei Yin
Online regularized pairwise learning with non-i.i.d. observations. Int. J. Wavelets Multiresolution Inf. Process. 20 (1) (2022)
Zhan Wang, Ting Liang, Bin Zou, Yaling Cai, Jie Xu, Xinge You
Incremental Fisher linear discriminant based on data denoising. Knowl. Based Syst. 237 (2022)
Lei Yin, Chong Yu, Yuyi Wang, Bin Zou, Yuan Yan Tang
Ultrarobust support vector registration. Appl. Intell. 51 (6) (2021)
Yuze Duan, Bin Zou, Jie Xu, Fen Chen, Jiaolong Wei, Yuan Yan Tang
OAA-SVM-MS: A fast and efficient multi-class classification algorithm. Neurocomputing 454 (2021)
Xingrui Gong, Bin Zou, Yuze Duan, Jie Xu, Qingxin Luo, Yan Yang
Multiple Kernel SVM Based on Two-Stage Learning. IEEE Access 8 (2020)
Hongwei Jiang, Bin Zou, Chen Xu, Jie Xu, Yuan Yan Tang
SVM-Boosting based on Markov resampling: Theory and algorithm. Neural Networks 131 (2020)
Jie Xu, Chen Xu, Bin Zou, Yuan Yan Tang, Jiangtao Peng, Xinge You
New Incremental Learning Algorithm With Support Vector Machines. IEEE Trans. Syst. Man Cybern. Syst. 49 (11) (2019)
Weijian Chen, Chen Xu, Bin Zou, Huidong Jin, Jie Xu
Kernelized Elastic Net Regularization based on Markov selective sampling. Knowl. Based Syst. 163 (2019)
Luoqing Li, Weifu Li, Bin Zou, Yulong Wang, Yuan Yan Tang, Hua Han
Learning With Coefficient-Based Regularized Regression on Markov Resampling. IEEE Trans. Neural Networks Learn. Syst. 29 (9) (2018)
Fen Chen, Bin Zou, Na Chen
The consistency of least-square regularized regression with negative association sequence. Int. J. Wavelets Multiresolution Inf. Process. 16 (3) (2018)
Bin Zou, Chen Xu, Yang Lu, Yuan Yan Tang, Jie Xu, Xinge You
k-Times Markov Sampling for SVMC. IEEE Trans. Neural Networks Learn. Syst. 29 (4) (2018)
Tieliang Gong, Bin Zou, Zongben Xu
-Regularizer Based on Markov Resampling. IEEE Trans. Cybern. 46 (5) (2016)
Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu, Baochang Zhang
The Generalization Ability of SVM Classification Based on Markov Sampling. IEEE Trans. Cybern. 45 (6) (2015)
Peipei Yuan, Hong Chen, Yicong Zhou, Xiaoyan Deng, Bin Zou
Generalization ability of extreme learning machine with uniformly ergodic Markov chains. Neurocomputing 167 (2015)
Jie Xu, Bin Zou, Hanlei Shen
Learning performance of multi-class support vector machines based on Markov sampling. ICNC (2015)
Jie Xu, Yan Yang, Bin Zou
Learning performance of Gaussian kernel online SVMC based on Markov sampling. ICNC (2015)
Jie Xu, Yang Lu, Bin Zou
Learning performance of DAGSVM algorithm based on Markov sampling. ICMLC (2015)
Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu
The Generalization Ability of Online SVM Classification Based on Markov Sampling. IEEE Trans. Neural Networks Learn. Syst. 26 (3) (2015)
Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu
Generalization performance of Gaussian kernels SVMC based on Markov sampling. Neural Networks 53 (2014)
Bin Zou, Yuan Yan Tang, Zongben Xu, Luoqing Li, Jie Xu, Yang Lu
The Generalization Performance of Regularized Regression Algorithms Based on Markov Sampling. IEEE Trans. Cybern. 44 (9) (2014)
Ling Zuo, Jiangtao Peng, Bin Zou
Error Analysis for the Sparse Graph-Based Semi-Supervised Classification Algorithm. Int. J. Wavelets Multiresolution Inf. Process. 11 (6) (2013)
Jie Xu, Tao Luo, Bin Zou
Learning performance of kernel SVMC with Markov chain samples. ICNC (2013)
Bin Zou, Luoqing Li, Zongben Xu, Tao Luo, Yuan Yan Tang
Generalization Performance of Fisher Linear Discriminant Based on Markov Sampling. IEEE Trans. Neural Networks Learn. Syst. 24 (2) (2013)
Bin Zou, Zhiming Peng, Zongben Xu
The learning performance of support vector machine classification based on Markov sampling. Sci. China Inf. Sci. 56 (3) (2013)
Jianjun Wang, Weihua Xu, Bin Zou
Constructive Estimation of Approximation for trigonometric Neural Networks. Int. J. Wavelets Multiresolution Inf. Process. 10 (3) (2012)
Bin Zou, Zongben Xu, Xiangyu Chang
Generalization bounds of ERM algorithm with V-geometrically Ergodic Markov chains. Adv. Comput. Math. 36 (1) (2012)
Jie Xu, Bin Zou
The generalization performance of learning algorithms derived simultaneously through algorithmic stability and space complexity. ICNC (2011)
Xiangyu Chang, Zongben Xu, Bin Zou, Hai Zhang
Generalization Bounds of Regularization Algorithms Derived Simultaneously through Hypothesis Space Complexity, Algorithmic Stability and Data Quality. Int. J. Wavelets Multiresolution Inf. Process. 9 (4) (2011)
Bin Zou, Zhiming Peng, Huihua Fan, Jie Xu
Learning performance of Fisher Linear Discriminant based on Markov sampling. ICNC (2010)
Bin Zou, Luoqing Li, Zongben Xu
The generalization performance of ERM algorithm with strongly mixing observations. Mach. Learn. 75 (3) (2009)
Jie Xu, Bin Zou
Learning Performance of Tikhonov Regularization Algorithm with Strongly Mixing Samples. ISNN (1) (2009)
Bin Zou, Hai Zhang, Zongben Xu
Learning from uniformly ergodic Markov chains. J. Complex. 25 (2) (2009)
Jie Xu, Bin Zou, Jianjun Wang
Generalization Performance of ERM Algorithm with Geometrically Ergodic Markov Chain Samples. ICNC (1) (2009)
Jianjun Wang, Bin Zou, Baili Chen
How to Measure the Essential Approximation Capability of a FNN. ICNC (2) (2009)
Luoqing Li, Bin Zou
Analysis of Regularized Least Square Algorithms with Beta-Mixing Input Sequences. ICNC (1) (2007)
Bin Zou, Luoqing Li
The performance bounds of learning machines based on exponentially strongly mixing sequences. Comput. Math. Appl. 53 (7) (2007)
Bin Zou, Luoqing Li, Jie Xu
The Generalization Performance of Learning Machine with NA Dependent Sequence. RSKT (2006)
Bin Zou, Luoqing Li
The Generalization Performance of Learning Machine Based on Phi-mixing Sequence. ICPR (2) (2006)
Bin Zou, Jie Xu, Luoqing Li
The Study of Leave-One-Out Error-Based Classification Learning Algorithm for Generalization Performance. ICNC (1) (2006)
Bin Zou, Luoqing Li, Jie Xu
The Bounds on the Rate of Uniform Convergence for Learning Machine. ISNN (1) (2005)
Hai Jin, Jie Xu, Bin Zou, Hao Zhang
Uinta: A P2P Routing Algorithm Based on the User's Interest and the Network Topology. IWDC (2005)