This paper aims to identify the current state of the art of the latest research related to support vector machines through a literature review system according to the methodology proposed by Kitchenham and Charter, in order to answer the following research questions: Q1: In which research areas are they used? Q2: What are the main applications related with classification? Q3: What optimization methods or algorithms are used in SVMs?
|Title of host publication||Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|State||Published - 21 Oct 2020|
|Event||2020 IEEE Engineering International Research Conference, EIRCON 2020 - Lima, Peru|
Duration: 21 Oct 2020 → 23 Oct 2020
|Name||Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020|
|Conference||2020 IEEE Engineering International Research Conference, EIRCON 2020|
|Period||21/10/20 → 23/10/20|
Bibliographical notePublisher Copyright:
© 2020 IEEE.
- Vector Support Machines
- linear and nonlinear separation
- optimization algorithms