Support vector machine parameter tuning based on particle swarm optimization metaheuristic
This paper introduces a method for linear support vector machine parameter tuning based on particle swarm optimization metaheuristic, which is used to find the best cost (penalty) parameter for a linear support vector machine to increase textual data classification accuracy. Additionally, majority v...
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| Автори: | , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Vilnius University Press
2020-03-01
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| Серія: | Nonlinear Analysis |
| Предмети: | |
| Онлайн доступ: | https://www.journals.vu.lt/nonlinear-analysis/article/view/16517 |
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