A novel embedded min-max approach for feature selection in nonlinear Support Vector Machine classification
Asunción Jiménez-Cordero, Juan Miguel Morales, Salvador Pineda
| Year of publication: |
2021
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|---|---|
| Authors: | Jiménez-Cordero, Asunción ; Morales, Juan M. ; Pineda, Salvador |
| Published in: |
European journal of operational research : EJOR. - Amsterdam : Elsevier, ISSN 0377-2217, ZDB-ID 243003-4. - Vol. 293.2021, 1 (16.8.), p. 24-35
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| Subject: | Duality theory | Feature selection | Machine learning | Min-max optimization | Nonlinear Support Vector Machine classification | Mustererkennung | Pattern recognition | Künstliche Intelligenz | Artificial intelligence | Klassifikation | Classification | Theorie | Theory |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ejor.2020.12.009 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012502445