A New Smooth Support Vector Machine Based on a Rational Function

被引：0
作者：
Shen, Jindong [1 ]
机构：
[1] China Jiliang Univ, Coll Sci, Hangzhou 310018, Zhejiang, Peoples R China
来源：
INFORMATION TECHNOLOGY APPLICATIONS IN INDUSTRY, PTS 1-4 | 2013年 / 263-266卷
关键词：
classification; smoothing techniques; support vector machines; rational function;
D O I：
10.4028/www.scientific.net/AMM.263-266.2199
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Smooth support vector machine (SSVM) is a strong convex, smooth, and unconstrained optimization model transformed from traditional support vector machine (SVM). In this study, a new smooth function which is a rational function diffrent from those polynomial functions, is used to smoothen the model of support vector machine. A new SSVM based on this rational function (Rational-SSVM) is obtained. Furthermore, Rational-SSVM is better than those SSVMs based on polynomial functions by the precision analysis.
引用
收藏
页码：2199 / 2202
页数：4
相关论文
共 50 条
  • [31] A New Method for Classifying Random Variables Based on Support Vector Machine
    Abaszade, Maryam
    Effati, Sohrab
    JOURNAL OF CLASSIFICATION, 2019, 36 (01) : 152 - 174
  • [32] Online Support Vector Machine Based on Minimum Euclidean Distance
    Dahiya, Kalpana
    Chauhan, Vinod Kumar
    Sharma, Anuj
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON COMPUTER VISION AND IMAGE PROCESSING, CVIP 2016, VOL 1, 2017, 459 : 89 - 99
  • [33] A New Expert System for Diabetes Disease Diagnosis Using Modified Spline Smooth Support Vector Machine
    Purnami, Santi Wulan
    Zain, Jasni Mohamad
    Embong, Abdullah
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2010, PT 4, PROCEEDINGS, 2010, 6019 : 83 - 92
  • [34] Identifying lncRNA Based on Support Vector Machine
    Li, Yongmin
    Ou, Yang
    Xu, Zhe
    Gong, Lejun
    HEALTH INFORMATION SCIENCE, HIS 2019, 2019, 11837 : 68 - 75
  • [35] Support Vector Machine Based Activity Detection
    Uslu, Gamze
    Baydere, Sebnem
    2013 21ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2013,
  • [36] Character extraction based on support vector machine
    Han, Bing
    Lin, Hongfei
    RECENT ADVANCE OF CHINESE COMPUTING TECHNOLOGIES, 2007, : 238 - 243
  • [37] Rectal sensation function rebuilding based on optimal wavelet packet and support vector machine
    Jiang, Enyu
    Zan, Peng
    Zhu, Xiaojin
    Liu, Jinding
    Shao, Yong
    IET SCIENCE MEASUREMENT & TECHNOLOGY, 2013, 7 (03) : 139 - 144
  • [38] A multisphere-based support vector machine
    Zhang, H. (huaxzhang@hotmail.com), 1600, Binary Information Press, P.O. Box 162, Bethel, CT 06801-0162, United States (10): : 53 - 60
  • [39] A rough margin based support vector machine
    Zhang, Junhua
    Wang, Yuanyuan
    INFORMATION SCIENCES, 2008, 178 (09) : 2204 - 2214
  • [40] Twin Support Vector Machine Based Regression
    Khemchandani, Reshma
    Goyal, Keshav
    Chandra, Suresh
    2015 EIGHTH INTERNATIONAL CONFERENCE ON ADVANCES IN PATTERN RECOGNITION (ICAPR), 2015, : 18 - +
12345