An alternative robust local embding based on twin support vector machines

被引:0
|
作者
Hua, Xiaopeng [1 ,2 ,3 ]
Ding, Shifei [1 ,2 ]
机构
[1] School of Computer Science and Technology, China University of Mining and Technology, Xuzhou,221116, China
[2] Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing,100190, China
[3] School of Information Engineering, Yancheng Institute of Technology, Yancheng,224051, China
关键词
Compendex;
D O I
10.11817/j.issn.1672-7207.2015.01.021
中图分类号
学科分类号
摘要
Classification (of information)
引用
收藏
页码:149 / 156
相关论文
共 50 条
  • [1] Robust energy-based least squares twin support vector machines
    Tanveer, Mohammad
    Khan, Mohammad Asif
    Ho, Shen-Shyang
    APPLIED INTELLIGENCE, 2016, 45 (01) : 174 - 186
  • [2] Robust energy-based least squares twin support vector machines
    Mohammad Tanveer
    Mohammad Asif Khan
    Shen-Shyang Ho
    Applied Intelligence, 2016, 45 : 174 - 186
  • [3] Robust and Sparse Linear Programming Twin Support Vector Machines
    M. Tanveer
    Cognitive Computation, 2015, 7 : 137 - 149
  • [4] Robust and Sparse Linear Programming Twin Support Vector Machines
    Tanveer, M.
    COGNITIVE COMPUTATION, 2015, 7 (01) : 137 - 149
  • [5] Robust twin bounded support vector machines for outliers and imbalanced data
    Parashjyoti Borah
    Deepak Gupta
    Applied Intelligence, 2021, 51 : 5314 - 5343
  • [6] Robust twin bounded support vector machines for outliers and imbalanced data
    Borah, Parashjyoti
    Gupta, Deepak
    APPLIED INTELLIGENCE, 2021, 51 (08) : 5314 - 5343
  • [7] Twin support vector machines based on rough sets
    Yu, J. (junzhao1989@163.com), 1600, Advanced Institute of Convergence Information Technology, Myoungbo Bldg 3F,, Bumin-dong 1-ga, Seo-gu, Busan, 602-816, Korea, Republic of (06):
  • [8] Function Approximation Based on Twin Support Vector Machines
    Yang, Chengfu
    Yi, Zhang
    Zuo, Lin
    2008 IEEE CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, VOLS 1 AND 2, 2008, : 752 - 757
  • [9] Least squares weighted twin support vector machines with local information
    Hua Xiao-peng
    Xu Sen
    Li Xian-feng
    JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2015, 22 (07) : 2638 - 2645
  • [10] Weighted Twin Support Vector Machines with Local Information and its application
    Ye, Qiaolin
    Zhao, Chunxia
    Gao, Shangbing
    Zheng, Hao
    NEURAL NETWORKS, 2012, 35 : 31 - 39