Support Vector Machine SMO Algorithms and Their Optimization
Available Online April 2019.
- https://doi.org/10.2991/icmeit-19.2019.79How to use a DOI?
- support vector machine, SMO algorithm, Optimization Research.
- 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.
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 -