Support Vector Machine Classifier via L0/1 Soft-Margin Loss
Support vector machines (SVM) have drawn wide attention for the last two decades due to its extensive applications, so a vast body of work has developed optimization algorithms to solve SVM with various soft-margin losses. To distinguish all, in this paper, we aim at solving an ideal soft-margin los...
Description complète
Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 10 vom: 24. Okt., Seite 7253-7265
|
|---|
| Auteur principal: |
Wang, Huajun
(Auteur) |
|---|
| Autres auteurs: |
Shao, Yuanhai,
Zhou, Shenglong,
Zhang, Ce,
Xiu, Naihua |
|---|
| Format: | Article en ligne
|
|---|
| Langue: | English |
|---|
| Publié: |
2022
|
|---|
| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
|
|---|
| Sujets: | Journal Article
Research Support, Non-U.S. Gov't |
|---|