Improved scheme for fast approximation to least squares support vector regression

被引：0
|
作者：
机构：
[1] Zhang, Yuchen
[2] Zhao, Yongping
[3] Song, Chengjun
[4] Hou, Kuanxin
[5] Tuo, Jinkui
[6] Ye, Xiaojun
来源：
Zhao, Yongping | 1600年 / Nanjing University of Aeronautics an Astronautics卷 / 31期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [31] Sparse approximation using least squares support vector machines
    Suykens, JAK
    Lukas, L
    Vandewalle, J
    ISCAS 2000: IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS - PROCEEDINGS, VOL II: EMERGING TECHNOLOGIES FOR THE 21ST CENTURY, 2000, : 757 - 760
  • [32] Feasible generalized least squares using support vector regression
    Miller, Steve
    Startz, Richard
    ECONOMICS LETTERS, 2019, 175 : 28 - 31
  • [33] Least squares support vector machine regression with additional constrains
    Ye Hong
    Sun, Bing-Yu
    Wang, Ru Jing
    PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE: 50 YEARS' ACHIEVEMENTS, FUTURE DIRECTIONS AND SOCIAL IMPACTS, 2006, : 682 - 684
  • [34] Online independent reduced least squares support vector regression
    Zhao, Yong-Ping
    Sun, Jian-Guo
    Du, Zhong-Hua
    Zhang, Zhi-An
    Li, Ye-Bo
    INFORMATION SCIENCES, 2012, 201 : 37 - 52
  • [35] Least squares support vector regression for complex censored data
    Liu, Xinrui
    Dong, Xiaogang
    Zhang, Le
    Chen, Jia
    Wang, Chunjie
    ARTIFICIAL INTELLIGENCE IN MEDICINE, 2023, 136
  • [36] Extended least squares support vector machines for ordinal regression
    Zhang, Na
    NEURAL COMPUTING & APPLICATIONS, 2016, 27 (06): : 1497 - 1509
  • [37] Sparse least squares support vector regression for nonstationary systems
    Hong, Xia
    Di Fatta, Giuseppe
    Chen, Hao
    Wang, Senlin
    2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2018,
  • [38] A sparse method for least squares twin support vector regression
    Huang, Huajuan
    Wei, Xiuxi
    Zhou, Yongquan
    NEUROCOMPUTING, 2016, 211 : 150 - 158
  • [39] Imposing symmetry in Least Squares Support Vector Machines regression
    Espinoza, Marcelo
    Suykens, Johan A. K.
    De Moor, Bart
    2005 44TH IEEE CONFERENCE ON DECISION AND CONTROL & EUROPEAN CONTROL CONFERENCE, VOLS 1-8, 2005, : 5716 - 5721
  • [40] Least squares Support Vector Machine regression for discriminant analysis
    Van Gestel, T
    Suykens, JAK
    De Brabanter, J
    De Moor, B
    Vandewalle, J
    IJCNN'01: INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS, 2001, : 2445 - 2450
12345