Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

Support Vector Machine SMO Algorithms and Their Optimization

Authors
Xiujun Wu
Corresponding Author
Xiujun Wu
Available Online April 2019.
DOI
https://doi.org/10.2991/icmeit-19.2019.79How to use a DOI?
Keywords
support vector machine, SMO algorithm, Optimization Research.
Abstract
Support Vector Machine (SVM) is an important statistical machine learning algorithm, among which SMO algorithm is one of the effective application methods. SMO algorithm decomposes the problem of support vector machine into smaller problems to minimize the sequence. Through the introduction of SMO algorithm and the analysis and summary of the problems, this paper explores the corresponding SMO optimization algorithm, hoping to provide theoretical support for future research.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
April 2019
ISBN
978-94-6252-708-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmeit-19.2019.79How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiujun Wu
PY  - 2019/04
DA  - 2019/04
TI  - Support Vector Machine SMO Algorithms and Their Optimization
PB  - Atlantis Press
SP  - 492
EP  - 494
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.79
DO  - https://doi.org/10.2991/icmeit-19.2019.79
ID  - Wu2019/04
ER  -