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Tackling class overlap and imbalance problems in software defect prediction Journal article
SOFTWARE QUALITY JOURNAL, 2018,Volume: 26,Issue: 1,Page: 97-125
Authors:  Chen, Lin;  Fang, Bin;  Shang, Zhaowei;  Tang, Yuanyan
Favorite  |  View/Download:10/0  |  Submit date:2018/10/30
Software Defect Prediction  Class Imbalance  Class Overlap  Machine Learning  
GOBoost: G-mean optimized boosting framework for class imbalance learning Conference paper
Proceedings of the World Congress on Intelligent Control and Automation (WCICA), Guilin, China, 12-15 June 2016
Authors:  Yang Lu;  Yiu-ming Cheung;  Yuan Yan Tang
Favorite  |  View/Download:21/0  |  Submit date:2019/02/11
Hybrid Sampling with Bagging for Class Imbalance Learning Conference paper
Lecture Notes in Computer Science (ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING), Univ Auckland, Auckland, NEW ZEALAND, APR 19-22, 2016
Authors:  Yang Lu;  Yiu-ming Cheung;  Yuan Yan Tang
Favorite  |  View/Download:4/0  |  Submit date:2019/02/11
Class Imbalance Learning  Ensemble Method  Hybrid Sampling  Sampling Method  
The Generalization Ability of SVM Classification Based on Markov Sampling Journal article
IEEE Transactions on Cybernetics, 2015,Volume: 45,Issue: 6,Page: 1169-1179
Authors:  Jie Xu;  Yuan Yan Tang,;  Bin Zou;  Zongben Xu;  Luoqing Li;  Yang Lu;  Baochang Zhang
Favorite  |  View/Download:2/0  |  Submit date:2019/02/11
Generalization Ability  Learning Rate  Markov Sampling  Support Vector Machine Classification (Svmc)  
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.)  
Scalable Compression of Stream Cipher Encrypted Images Through Context-Adaptive Sampling Journal article
IEEE Transactions on Information Forensics and Security, 2014,Volume: 9,Issue: 11,Page: 1857-1868
Authors:  Jiantao Zhou;  Oscar C. Au;  Guangtao Zhai;  Yuan Yan Tang;  Xianming Liu
Favorite  |  View/Download:6/0  |  Submit date:2018/12/22
Adaptive Sampling  Image Compression  Scalable Coding  Signal ProcessIng In Encrypted domaIn  
Generalization performance of Gaussian kernels SVMC based on Markov sampling Journal article
Neural Networks, 2014,Volume: 53,Page: 40-51
Authors:  Jie Xu;  Yuan Yan Tang;  Bin Zou;  Zongben Xu;  Luoqing Li;  Yang Lu
Favorite  |  View/Download:4/0  |  Submit date:2019/02/11
Gaussian Rbf Kernels  Generalization Performance  Markov Sampling  Svmc  Uniformly Ergodic Markov Chain (U.e.m.c.)  
Generalization performance of support vector classifiers for density level detection Journal article
Neurocomputing, 2013,Volume: 119,Page: 434-438
Authors:  Hong Chen;  Yicong Zhou;  Yi Tang;  Yuan Yan Tang;  Zhibin Pan
Favorite  |  View/Download:4/0  |  Submit date:2018/12/21
Density Level Detection  Iterative Technique  Learning Rate  Rademacher Average  
Convergence rate of the semi-supervised greedy algorithm Journal article
Neural Networks, 2013,Volume: 44,Page: 44-50
Authors:  Hong Chen;  Yicong Zhou;  Yuan Yan Tang;  Luoqing Li;  Zhibin Pan
Favorite  |  View/Download:5/0  |  Submit date:2018/12/21
Data-dependent Hypothesis Space  Generalization Error  Greedy Algorithm  Semi-supervised Learning  Sparse  
Error analysis of stochastic gradient descent ranking Journal article
IEEE Transactions on Cybernetics, 2013,Volume: 43,Issue: 3,Page: 898-909
Authors:  Hong Chen;  Yi Tang;  Luoqing Li;  Yuan Yuan;  Xuelong Li;  Yuanyan Tang
Favorite  |  View/Download:6/0  |  Submit date:2019/02/11
Error Analysis  Integral Operator  Ranking  Reproducing Kernel Hilbert Space  Sampling Operator  Stochastic Gradient Descent