A Systematic Literature Review on Support Vector Machines Applied to Classification

Miguel Angel Cano Lengua; Erik Alex Papa Quiroz

doi:10.1109/EIRCON51178.2020.9254028

A Systematic Literature Review on Support Vector Machines Applied to Classification

Miguel Angel Cano Lengua, Erik Alex Papa Quiroz

Universidad Nacional Mayor de San Marcos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

16 Scopus citations

Abstract

This

Original language	English
Title of host publication	Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020
ISBN (Electronic)	9781728183671
DOIs	https://doi.org/10.1109/EIRCON51178.2020.9254028
State	Published - 21 Oct 2020
Externally published	Yes
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

Conference

Conference	2020 IEEE Engineering International Research Conference, EIRCON 2020
Country/Territory	Peru
City	Lima
Period	21/10/20 → 23/10/20

Keywords

Vector Support Machines
classification
hyperplane
linear and nonlinear separation
optimization algorithms

Access to Document

10.1109/EIRCON51178.2020.9254028

Cite this

Cano Lengua, M. A., & Papa Quiroz, E. A. (2020). A Systematic Literature Review on Support Vector Machines Applied to Classification. In Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020 Article 9254028 (Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020). https://doi.org/10.1109/EIRCON51178.2020.9254028

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abstract = "This",

keywords = "Vector Support Machines, classification, hyperplane, linear and nonlinear separation, optimization algorithms",

author = "{Cano Lengua}, {Miguel Angel} and {Papa Quiroz}, {Erik Alex}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE Engineering International Research Conference, EIRCON 2020 ; Conference date: 21-10-2020 Through 23-10-2020",

year = "2020",

month = oct,

day = "21",

doi = "10.1109/EIRCON51178.2020.9254028",

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Cano Lengua, MA & Papa Quiroz, EA 2020, A Systematic Literature Review on Support Vector Machines Applied to Classification. in Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020., 9254028, Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020, 2020 IEEE Engineering International Research Conference, EIRCON 2020, Lima, Peru, 21/10/20. https://doi.org/10.1109/EIRCON51178.2020.9254028

A Systematic Literature Review on Support Vector Machines Applied to Classification. / Cano Lengua, Miguel Angel; Papa Quiroz, Erik Alex.
Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020. 2020. 9254028 (Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - A Systematic Literature Review on Support Vector Machines Applied to Classification

AU - Cano Lengua, Miguel Angel

AU - Papa Quiroz, Erik Alex

PY - 2020/10/21

Y1 - 2020/10/21

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AB - This

KW - Vector Support Machines

KW - classification

KW - hyperplane

KW - linear and nonlinear separation

KW - optimization algorithms

UR - http://www.scopus.com/inward/record.url?scp=85097806328&partnerID=8YFLogxK

U2 - 10.1109/EIRCON51178.2020.9254028

DO - 10.1109/EIRCON51178.2020.9254028

M3 - Conference contribution

AN - SCOPUS:85097806328

T3 - Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020

BT - Proceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020

T2 - 2020 IEEE Engineering International Research Conference, EIRCON 2020

Y2 - 21 October 2020 through 23 October 2020

ER -

A Systematic Literature Review on Support Vector Machines Applied to Classification

Abstract

Publication series

Conference

Keywords

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