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A New Strategy of Cost-Free Learning in the Class Imbalance Problem 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2014, 卷号: 26, 期号: 12, 页码: 2872-2885
作者:  Zhang, Xiaowan;  Hu, Bao-Gang
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Classification  Class Imbalance  Cost-free Learning  Cost-sensitive Learning  Abstaining  Mutual Information  Roc  
Determining parameter identifiability from the optimization theory framework: A Kullback-Leibler divergence approach 期刊论文
NEUROCOMPUTING, 2014, 卷号: 142, 期号: 2, 页码: 307-317
作者:  Ran, Zhi-Yong;  Hu, Bao-Gang
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Identifiability  Optimization Theory  Kullback-leibler Divergence  Hessian Matrix  Jacobian Matrix  
An Asymmetric Stagewise Least Square Loss Function for Imbalanced Classification 会议论文
2014 International Joint Conference on Neural Networks (IJCNN), 北京, 2014-7-6至2014-7-11
作者:  Xu, Guibiao(徐贵标);  Hu, Bao-Gang(胡包钢);  Principe, Jose
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Globality and locality incorporation in distance metric learning 期刊论文
NEUROCOMPUTING, 2014, 卷号: 129, 期号: 1, 页码: 185-198
作者:  Wang, Wei;  Hu, Bao-Gang;  Wang, Zeng-Fu
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Mahalanobis Distance  Metric Learning  Convex Optimization  Classification  
Determining structural identifiability of parameter learning machines 期刊论文
NEUROCOMPUTING, 2014, 卷号: 127, 期号: 1, 页码: 88-97
作者:  Ran, Zhi-Yong;  Hu, Bao-Gang
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Identifiability  Parameter Learning Machine  Exhaustive Summary  Kullback-leibler Divergence  Parameter Redundancy  
What Are the Differences Between Bayesian Classifiers and Mutual-Information Classifiers? 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 卷号: 25, 期号: 2, 页码: 249-264
作者:  Hu, Bao-Gang
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Abstaining Classifier  Bayes  Cost-sensitive Learning  Entropy  Error Types  Mutual Information  Reject Types  
Robust Recognition via Information Theoretic Learning 专著
Newyork, USA:Springer, 2014
作者:  Ran He(赫然);  Baogang Hu;  Xiaotong Yuan;  Liang Wang
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Data-driven face cartoon stylization 会议论文
ACM SIGGRAPH ASIA, Shenzhen, China, 2014
作者:  Zhang, Yong;  Dong, Weiming;  Deussen, Oliver;  Huang, Feiyue;  Li, Ke;  Hu, Bao-Gang
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