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
  • [1] Least squares support vector machine classifiers
    Suykens, JAK
    Vandewalle, J
    NEURAL PROCESSING LETTERS, 1999, 9 (03) : 293 - 300
  • [2] Asymmetric least squares support vector machine classifiers
    Huang, Xiaolin
    Shi, Lei
    Suykens, Johan A. K.
    COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2014, 70 : 395 - 405
  • [3] A weighted Lq adaptive least squares support vector machine classifiers - Robust and sparse approximation
    Liu, Jingli
    Li, Jianping
    Xu, Weixuan
    Shi, Yong
    EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (03) : 2253 - 2259
  • [4] 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
  • [5] Efficient computations for large least square support vector machine classifiers
    Chua, KS
    PATTERN RECOGNITION LETTERS, 2003, 24 (1-3) : 75 - 80
  • [6] A Fast Least Squares Support Vector Machine Classifier
    Kong, Rui
    Zhang, Bing
    2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11, 2008, : 749 - 752
  • [7] Ramp loss least squares support vector machine
    Liu, Dalian
    Shi, Yong
    Tian, Yingjie
    Huang, Xiankai
    JOURNAL OF COMPUTATIONAL SCIENCE, 2016, 14 : 61 - 68
  • [8] Mapped least squares support vector machine regression
    Zheng, S
    Sun, YQ
    Tian, JW
    Liu, J
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2005, 19 (03) : 459 - 475
  • [9] Fuzzy Least Squares Support Vector Machine with Fuzzy Hyperplane
    Kung, Chien-Feng
    Hao, Pei-Yi
    NEURAL PROCESSING LETTERS, 2023, 55 (06) : 7415 - 7446
  • [10] ML2S-SVM: multi-label least-squares support vector machine classifiers
    Xu, Shuo
    An, Xin
    ELECTRONIC LIBRARY, 2019, 37 (06) : 1040 - 1058
12345