Support vector machines maximizing geometric margins for multi-class classification
| Year of publication: |
2014
|
|---|---|
| Authors: | Tatsumi, Keiji ; Tanino, Tetsuzo |
| Published in: |
Top : transactions in operations research. - [Berlin] : Springer, ISSN 1134-5764, ZDB-ID 1205918-3. - Vol. 22.2014, 3, p. 815-840
|
| Subject: | Multi-class classification | Support vector machine | Machine learning | Multiobjective optimization | Second-order cone programming problem | Mustererkennung | Pattern recognition | Künstliche Intelligenz | Artificial intelligence | Klassifikation | Classification | Mathematische Optimierung | Mathematical programming | Theorie | Theory | Multikriterielle Entscheidungsanalyse | Multi-criteria analysis | Algorithmus | Algorithm |
-
Convex optimization for group feature selection in networked data
Won, Daehan, (2020)
-
Multi-class support vector machine based on minimization of reciprocal-geometric-margin norms
Kusunoki, Yoshifumi, (2025)
-
Margin optimal classification trees
D'Onofrio, Federico, (2024)
- More ...
-
Rejoinder on: Support vector machines maximizing geometric margins for multi-class classification
Tatsumi, Keiji, (2014)
-
Comments on: Support vector machines maximizing geometric margins for multi-class classification
Lee, Yoonkyung, (2014)
-
Comments on: Support vector machines maximizing geometric margins for multi-class classification
Guermeur, Yann, (2014)
- More ...