Least Squares Support Vector Machine Classifiers

被引：39
|
作者：
J.A.K. Suykens
J. Vandewalle
机构：
[1] Katholieke Universiteit Leuven,Department of Electrical Engineering
来源：
Neural Processing Letters | 1999年 / 9卷
关键词：
classification; support vector machines; linear least squares; radial basis function kernel;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this letter we discuss a least squares version for support vector machine (SVM) classifiers. Due to equality type constraints in the formulation, the solution follows from solving a set of linear equations, instead of quadratic programming for classical SVM's. The approach is illustrated on a two-spiral benchmark classification problem.
引用
收藏
页码：293 / 300
页数：7
相关论文
共 50 条
  • [31] Fuzzy Least Squares Support Vector Machine with Fuzzy Hyperplane
    Kung, Chien-Feng
    Hao, Pei-Yi
    NEURAL PROCESSING LETTERS, 2023, 55 (06) : 7415 - 7446
  • [32] Least squares one-class support vector machine
    Choi, Young-Sik
    PATTERN RECOGNITION LETTERS, 2009, 30 (13) : 1236 - 1240
  • [33] An Improvement on the Basic Least Squares Support Vector Machine Algorithm
    Chen Bocheng
    Li Yingjie
    2009 6TH INTERNATIONAL CONFERENCE ON SERVICE SYSTEMS AND SERVICE MANAGEMENT, VOLS 1 AND 2, 2009, : 779 - +
  • [34] New intuitionistic fuzzy least squares support vector machine
    Zhang D.
    Zhou S.
    Zhang W.
    Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University, 2022, 49 (05): : 125 - 136
  • [35] System identification based on least squares support vector machine
    Zhu, Zhiyu
    Zhang, Bin
    Liu, Weiting
    DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2006, 13 : 589 - 592
  • [36] New method for least squares support vector machine in the primal
    Zhao, Yong-Ping
    Sun, Jian-Guo
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2009, 31 (01): : 142 - 145
  • [37] A Novel Least Squares Support Vector Machine Kernel for Approximation
    Mu, Xiangyang
    Gao, Weixin
    Tang, Nan
    Zhou, Yatong
    2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 4510 - +
  • [38] Prediction of ncRNA based on least squares support vector machine
    Liang, Y., 2013, American Scientific Publishers (07):
  • [39] Demand Elasticity Analysis by Least Squares Support Vector Machine
    Xie, Li
    Zheng, Hua
    2013 6TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP), VOLS 1-3, 2013, : 1085 - 1089
  • [40] Fast sparse approximation for least squares support vector machine
    Jiao, Licheng
    Bo, Liefeng
    Wang, Ling
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 2007, 18 (03): : 685 - 697
12345