Adjustable robust optimization approach for SVM under uncertainty
F. Hooshmand, F. Seilsepour, S. A. MirHassani
| Year of publication: |
2025
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|---|---|
| Authors: | Hooshmand, F. ; Seilsepour, F. ; MirHassani, S. A. |
| Published in: |
Omega : the international journal of management science. - Oxford [u.a.] : Elsevier, ISSN 1873-5274, ZDB-ID 1491111-5. - Vol. 131.2025, Art.-No. 103206, p. 1-16
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| Subject: | Adjustable robust optimization | Decomposition-based algorithms | Support vector machine | Three-level optimization | Uncertainty in feature vector | Valid inequalities | Theorie | Theory | Mathematische Optimierung | Mathematical programming | Robustes Verfahren | Robust statistics | Mustererkennung | Pattern recognition | Entscheidung unter Unsicherheit | Decision under uncertainty | Algorithmus | Algorithm | Risiko | Risk |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.omega.2024.103206 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015406552