An output grouping based approach to multiclass classification using support vector machines

Xuan Zhao; Steven Guan; Ka Lok Man

doi:10.1007/978-981-10-1536-6_51

An output grouping based approach to multiclass classification using support vector machines

Xuan Zhao^*
, Steven Guan
, Ka Lok Man

^*Corresponding author for this work

Xi'an Jiaotong-Liverpool University

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

3 Citations (Scopus)

Abstract

Support Vector Machine (SVM) classifiers are binary classifiers in nature, which have to be coupled/assembled to solve multi-class problems. One-Versus-Rest (1-v-r) is a fast and accurate method for SVM multiclass classification. This paper investigates the effect of output grouping on multiclass classification with SVM and offers an even faster version of 1-v-r based on our output grouping algorithm.

Original language	English
Title of host publication	Advanced Multimedia and Ubiquitous Engineering - FutureTech and MUE
Editors	Hai Jin, Young-Sik Jeong, Muhammad Khurram Khan, James J. Park
Publisher	Springer Verlag
Pages	389-395
Number of pages	7
ISBN (Print)	9789811015359
DOIs	https://doi.org/10.1007/978-981-10-1536-6_51
Publication status	Published - 2016
Event	11th International Conference on Future Information Technology, FutureTech 2016 - Beijing, China Duration: 20 Apr 2016 → 22 Apr 2016

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	393
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	11th International Conference on Future Information Technology, FutureTech 2016
Country/Territory	China
City	Beijing
Period	20/04/16 → 22/04/16

Keywords

Decomposition method
Multiclass classification
Output grouping
Support vector machine

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10.1007/978-981-10-1536-6_51

Cite this

Zhao, X., Guan, S., & Man, K. L. (2016). An output grouping based approach to multiclass classification using support vector machines. In H. Jin, Y.-S. Jeong, M. K. Khan, & J. J. Park (Eds.), Advanced Multimedia and Ubiquitous Engineering - FutureTech and MUE (pp. 389-395). (Lecture Notes in Electrical Engineering; Vol. 393). Springer Verlag. https://doi.org/10.1007/978-981-10-1536-6_51

@inproceedings{64d000d64bd74ec5b01650f869bee38b,

title = "An output grouping based approach to multiclass classification using support vector machines",

abstract = "Support Vector Machine (SVM) classifiers are binary classifiers in nature, which have to be coupled/assembled to solve multi-class problems. One-Versus-Rest (1-v-r) is a fast and accurate method for SVM multiclass classification. This paper investigates the effect of output grouping on multiclass classification with SVM and offers an even faster version of 1-v-r based on our output grouping algorithm.",

keywords = "Decomposition method, Multiclass classification, Output grouping, Support vector machine",

author = "Xuan Zhao and Steven Guan and Man, \{Ka Lok\}",

note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media Singapore 2016.; 11th International Conference on Future Information Technology, FutureTech 2016 ; Conference date: 20-04-2016 Through 22-04-2016",

year = "2016",

doi = "10.1007/978-981-10-1536-6\_51",

language = "English",

isbn = "9789811015359",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Verlag",

pages = "389--395",

editor = "Hai Jin and Young-Sik Jeong and Khan, \{Muhammad Khurram\} and Park, \{James J.\}",

booktitle = "Advanced Multimedia and Ubiquitous Engineering - FutureTech and MUE",

}

Zhao, X, Guan, S & Man, KL 2016, An output grouping based approach to multiclass classification using support vector machines. in H Jin, Y-S Jeong, MK Khan & JJ Park (eds), Advanced Multimedia and Ubiquitous Engineering - FutureTech and MUE. Lecture Notes in Electrical Engineering, vol. 393, Springer Verlag, pp. 389-395, 11th International Conference on Future Information Technology, FutureTech 2016, Beijing, China, 20/04/16. https://doi.org/10.1007/978-981-10-1536-6_51

An output grouping based approach to multiclass classification using support vector machines. / Zhao, Xuan; Guan, Steven; Man, Ka Lok.
Advanced Multimedia and Ubiquitous Engineering - FutureTech and MUE. ed. / Hai Jin; Young-Sik Jeong; Muhammad Khurram Khan; James J. Park. Springer Verlag, 2016. p. 389-395 (Lecture Notes in Electrical Engineering; Vol. 393).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - An output grouping based approach to multiclass classification using support vector machines

AU - Zhao, Xuan

AU - Guan, Steven

AU - Man, Ka Lok

N1 - Publisher Copyright: © Springer Science+Business Media Singapore 2016.

PY - 2016

Y1 - 2016

N2 - Support Vector Machine (SVM) classifiers are binary classifiers in nature, which have to be coupled/assembled to solve multi-class problems. One-Versus-Rest (1-v-r) is a fast and accurate method for SVM multiclass classification. This paper investigates the effect of output grouping on multiclass classification with SVM and offers an even faster version of 1-v-r based on our output grouping algorithm.

AB - Support Vector Machine (SVM) classifiers are binary classifiers in nature, which have to be coupled/assembled to solve multi-class problems. One-Versus-Rest (1-v-r) is a fast and accurate method for SVM multiclass classification. This paper investigates the effect of output grouping on multiclass classification with SVM and offers an even faster version of 1-v-r based on our output grouping algorithm.

KW - Decomposition method

KW - Multiclass classification

KW - Output grouping

KW - Support vector machine

UR - https://www.scopus.com/pages/publications/84988014326

U2 - 10.1007/978-981-10-1536-6_51

DO - 10.1007/978-981-10-1536-6_51

M3 - Conference Proceeding

AN - SCOPUS:84988014326

SN - 9789811015359

T3 - Lecture Notes in Electrical Engineering

SP - 389

EP - 395

BT - Advanced Multimedia and Ubiquitous Engineering - FutureTech and MUE

A2 - Jin, Hai

A2 - Jeong, Young-Sik

A2 - Khan, Muhammad Khurram

A2 - Park, James J.

PB - Springer Verlag

T2 - 11th International Conference on Future Information Technology, FutureTech 2016

Y2 - 20 April 2016 through 22 April 2016

ER -

An output grouping based approach to multiclass classification using support vector machines

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