Deep Additive Least Squares Support Vector Machines for Classification with Model Transfer

被引：0
|
作者：
Wang, Guanjin [1 ]
Zhang, Guangquan [1 ]
Choi, Kup-Sze [2 ]
Lu, Jie [1 ]
机构：
[1] Centre for Artificial Intelligence, School of Software Faculty of Engineering and Information Technology, University of Technology Sydney, Broadway,NSW,2007, Australia
[2] Centre for Smart Health, School of Nursing, Hong Kong Polytechnic University, Hong Kong, Hong Kong
来源：
IEEE Transactions on Systems, Man, and Cybernetics: Systems | 2019年 / 49卷 / 07期
关键词：
Manuscript received May 8; 2017; accepted September 17; 2017. Date of publication December 1; date of current version June 14; 2019. This work was supported in part by the Australian Research Council under Grant DP140101366; in part by the Hong Kong Research Grants Council under Grant PolyU152040/16E; and in part by the YC Yu Scholarship for Centre for Smart Health. This paper was recommended by Associate Editor H. Ying. (Corresponding author: Jie Lu.) G. Wang is with the Centre for Artificial Intelligence; School of Software; Faculty of Engineering and Information Technology; University of Technology Sydney; Broadway; NSW; 2007; Australia; and also with the Centre for Smart Health; School of Nursing; Hong Kong Polytechnic University; Hong Kong (e-mail: guanjin.wang@student.uts.edu.au);
D O I：
10.1109/TSMC.2017.2759090
中图分类号：
学科分类号：
摘要：
46
引用
收藏
页码：1527 / 1540
相关论文
共 50 条
  • [1] Deep Additive Least Squares Support Vector Machines for Classification With Model Transfer
    Wang, Guanjin
    Zhang, Guangquan
    Choi, Kup-Sze
    Lu, Jie
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2019, 49 (07): : 1527 - 1540
  • [2] Additive survival least-squares support vector machines
    Van Belle, V.
    Pelckmans, K.
    Suykens, J. A. K.
    Van Huffel, S.
    [J]. STATISTICS IN MEDICINE, 2010, 29 (02) : 296 - 308
  • [3] Least squares twin support vector machines for pattern classification
    Kumar, M. Arun
    Gopal, M.
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (04) : 7535 - 7543
  • [4] Multi-View Least Squares Support Vector Machines Classification
    Houthuys, Lynn
    Langone, Rocco
    Suykens, Johan A. K.
    [J]. NEUROCOMPUTING, 2018, 282 : 78 - 88
  • [5] Subspace Based Least Squares Support Vector Machines for Pattern Classification
    Kitamura, Takuya
    Abe, Shigeo
    Fukui, Kazuhiro
    [J]. IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6, 2009, : 1275 - +
  • [6] Efficient sparse least squares support vector machines for pattern classification
    Tian, Yingjie
    Ju, Xuchan
    Qi, Zhiquan
    Shi, Yong
    [J]. COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2013, 66 (10) : 1935 - 1947
  • [7] A kind of fuzzy least squares support vector machines for pattern classification
    Chen, SW
    Xu, Y
    [J]. APPLIED COMPUTATIONAL INTELLIGENCE, 2004, : 308 - 313
  • [8] Weighted Least Squares Twin Support Vector Machines for Pattern Classification
    Chen, Jing
    Ji, Guangrong
    [J]. 2010 2ND INTERNATIONAL CONFERENCE ON COMPUTER AND AUTOMATION ENGINEERING (ICCAE 2010), VOL 2, 2010, : 242 - 246
  • [9] Fuzzy least squares support vector machines
    Tsujinishi, D
    Abe, S
    [J]. PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2003, VOLS 1-4, 2003, : 1599 - 1604
  • [10] Digital Least Squares Support Vector Machines
    Davide Anguita
    Andrea Boni
    [J]. Neural Processing Letters, 2003, 18 : 65 - 72
12345