Support Vector Machine SMO Algorithms and Their Optimization

DOI

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.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiujun Wu
PY  - 2019/04
DA  - 2019/04
TI  - Support Vector Machine SMO Algorithms and Their Optimization
BT  - Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
PB  - Atlantis Press
SP  - 492
EP  - 494
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.79
DO  - 10.2991/icmeit-19.2019.79
ID  - Wu2019/04
ER  -