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可婷

 
       个人基本情况:
 
        姓名:可婷
        性别:女
        出生年月:1984.01
        民族:汉族
        政治面貌:讲师
 
       教育经历:

        2010
-2014年 中国农业大学 获博士学位
 
       主要研究方向:
 
  1.
机器学习与数据挖掘
         2. 最优化理论与算法
 
       完成的主要论文:

       [1]
Ting Ke, Junyan Tan, Bing Yang, Li Yi, Ling Jing. A Novel Graph-based Approach for Transductive Positive and Unlabeled Learning. Journal of computational information systems, 2014, 10 (4):1439-1447.
  
       [2] Ting Ke, Lujia Song, Bing Yang, Xinbin Zhao, Ling Jing. A Biased Least Squares Support Vector Machine Classifier for Positive and Unlabeled Learning. Journal of software. 2014, 9(6): 1494-1502. 
       [3]Zhiqiang Zhang, Ting KeNaiyang DengJunyan Tan. Biased p-norm Support Vector Machine for PU Learning. Neurocomputing, 2014, 1-6.
       [4] Ting Ke, Bing Yang, Ling Zhen, Junyan Tan, Yi Li, Ling Jing. Building High-performance Classifiers on Positive and Unlabeled Examples for Text Classification. Advances in Neural Networks – ISNN 2012Lecture Notes in Computer Science Volume 7368, 2012, 187-195. 
       [5]Jingjing QiangTing KeBing YangLing Jing. Building SVM Classifier Based on Posterior Probability Using Positive and Unlabeled Examples. International Journal of Digital Content Technology and its Applications, 2012, 6(23), 289- 297.
 
       联系方式:

        通信地址:天津市泰达开发区第十三大街294号楼215
        邮编:300457
        Email:keting@tust.edu.cn