Abstract
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?
Original language | English |
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Title of host publication | Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781728183671 |
DOIs | |
State | Published - 21 Oct 2020 |
Event | 2020 IEEE Engineering International Research Conference, EIRCON 2020 - Lima, Peru Duration: 21 Oct 2020 → 23 Oct 2020 |
Publication series
Name | Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020 |
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Conference
Conference | 2020 IEEE Engineering International Research Conference, EIRCON 2020 |
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Country/Territory | Peru |
City | Lima |
Period | 21/10/20 → 23/10/20 |
Bibliographical note
Publisher Copyright:© 2020 IEEE.
Keywords
- Vector Support Machines
- classification
- hyperplane
- linear and nonlinear separation
- optimization algorithms