Title
A Systematic Literature Review on Support Vector Machines Applied to Classification
Date Issued
21 October 2020
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
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?
Language
English
OCDE Knowledge area
Matemáticas
Física y Astronomía
Subjects
Scopus EID
2-s2.0-85097806328
ISBN
9781728183671
Resource of which it is part
Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020
ISBN of the container
978-172818367-1
Conference
IEEE Engineering International Research Conference, EIRCON 2020
Sources of information:
Directorio de Producción Científica
Scopus