Research on noise insensitive SVM based multi-class classifier

被引：0

作者：

Li, K ^{[1
]}

Liu, YS ^{[1
]}

机构：

[1] Beijing Inst Technol, Sch Informat Sci & Technol, Dept Comp Sci & Engn, Beijing 100081, Peoples R China

来源：

PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2004年

关键词：

support vector machine(SVM); noise; multi-class classifier; constraint distance;

D O I：

10.1109/ICMLC.2004.1378593

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A noise insensitive SVM multi-class classifier is proposed. The algorithm is used to analyze data characteristic in the high-dimension data set Firstly a noise insensitive SVM two-class classifier is built to tackle the noise problem. On the basis of standard SVM, constraint distance is also considered to determine the optimal separating hyperplane. According to these, the noise insensitive SVM multi-class classifier is designed with edited SVM, confidence interval and one-against-one method.

引用

页码：3234 / 3237

页数：4

共 50 条

[31] Decision tree support vector machine based on genetic algorithm for multi-class classification
Huanhuan Chen
Journal of Systems Engineering and Electronics, 2011, 22 (02) : 322 - 326
[32] Decision tree support vector machine based on genetic algorithm for multi-class classification
Chen, Huanhuan
Wang, Qiang
Shen, Yi
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2011, 22 (02) : 322 - 326
[33] Online Fault Diagnosis of Photovoltaic Modules Based on Multi-Class Support Vector Machine
Wang, Lingxiao
Liu, Jiao
Guo, Xiaogang
Yang, Qiang
Yan, Wenjun
2017 CHINESE AUTOMATION CONGRESS (CAC), 2017, : 4569 - 4574
[34] An Efficient Multi-Scale Convolutional Neural Network Based Multi-Class Brain MRI Classification for SaMD
Yazdan, Syed Ali
Ahmad, Rashid
Iqbal, Naeem
Rizwan, Atif
Khan, Anam Nawaz
Kim, Do-Hyeun
TOMOGRAPHY, 2022, 8 (04) : 1905 - 1927
[35] A decision based one-against-one method for multi-class support vector machine
Debnath, R
Takahide, N
Takahashi, H
PATTERN ANALYSIS AND APPLICATIONS, 2004, 7 (02) : 164 - 175
[36] Arrangement structure description method of multi-class objects based on polar coordinate feature matrix
Chen G.
You B.
Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2019, 40 (10): : 55 - 65
[37] Fast algorithm based on triplet Markov fields for unsupervised multi-class segmentation of SAR images
Wu Yan
Wang Xin
Xiao Ping
Gan Lu
Liu ChunYan
Li Ming
SCIENCE CHINA-INFORMATION SCIENCES, 2011, 54 (07) : 1524 - 1533
[38] A decision based one-against-one method for multi-class support vector machine
R. Debnath
N. Takahide
H. Takahashi
Pattern Analysis and Applications, 2004, 7 : 164 - 175
[39] Fault diagnosis of lead-zinc smelting furnace based on multi-class support vector machines
Jiang, Shaohua
Gui, Weihua
Yang, Chunhua
Xie, Yongfang
2007 IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION, VOLS 1-7, 2007, : 2231 - 2236
[40] Lightweight Multi-Class Support Vector Machine-Based Medical Diagnosis System with Privacy Preservation
Abdelfattah, Sherif
Baza, Mohamed
Mahmoud, Mohamed
Fouda, Mostafa M.
Abualsaud, Khalid
Yaacoub, Elias
Alsabaan, Maazen
Guizani, Mohsen
SENSORS, 2023, 23 (22)

← 1 2 3 4 5 →