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Liu Yanfang, Li Wenbin, Gao Yang.
Passive-Aggressive Learning with Feature Evolvable Streams
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Guo Fangfang, Wang Xinyue, Wang Huiqiang, Lü Hongwu, Hu Yibing, Wu Fang, Feng Guangsheng, Zhao Qian.
A Dynamic Stain Analysis Method on Maximal Frequent Sub Graph Mining
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Cheng Guang, Qian Dexin, Guo Jianwei, Shi Haibin, Hua, Zhao Yuyu.
A Classification Approach Based on Divergence for Network Traffic in Presence of Concept Drift
[J]. Journal of Computer Research and Development, 2020, 57(12): 2673-2682.
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Ai Ke, Ma Guoshuai, Yang Kaikai, Qian Yuhua.
A Classification Method of Scientific Collaborator Potential Prediction Based on Ensemble Learning
[J]. Journal of Computer Research and Development, 2019, 56(7): 1383-1395.
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Guo Yingjie, Liu Xiaoyan, Wu Chenxi, Guo Maozu,Li Ao.
U-Statistics and Ensemble Learning Based Method for Gene-Gene Interaction Detection
[J]. Journal of Computer Research and Development, 2018, 55(8): 1683-1693.
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Xu Hang, Wang Wenjian, Ren Lifang.
A Method for Monotonic Classification Based on Decision Forest
[J]. Journal of Computer Research and Development, 2017, 54(7): 1477-1487.
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Fu Yiqi, Dong Wei, Yin Liangze,Du Yuqing.
Software Defect Prediction Model Based on the Combination of Machine Learning Algorithms
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Xiong Bingyan, Wang Guoyin, Deng Weibin.
Under-Sampling Method Based on Sample Weight for Imbalanced Data
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Zhang Hu, Tan Hongye, Qian Yuhua, Li Ru, Chen Qian.
Chinese Text Deception Detection Based on Ensemble Learning
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Li Ting1, Dong Hang2, Yuan Chunyang1, Du Yuejin1, and Xu Guoai2.
Description of Android Malware Feature Based on Dalvik Instructions
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Zhou Quanqiang and Zhang Fuzhi.
Ensemble Approach for Detecting User Profile Attacks Based on Bionic Pattern Recognition
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Fu Zhongliang.
A Universal Ensemble Learning Algorithm
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Li Peng, Wang Ruchuan, and Wu Ning.
Research on Unknown Malicious Code Automatic Detection Based on Space Relevance Features
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Liu Wuying, and Wang Ting.
Structured Ensemble Learning for Email Spam Filtering
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Liu Ming, Yuan Baozong, Miao Zhenjiang, Tang Xiaofang, and Li Kunlun.
Transformation from Local Accuracy to Classification Confidence
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