ϵ-sparse representations generalized sparse approximation and the equivalent family of SVM tasks /
Relation between a family of generalized Support Vector Machine (SVM) problems and the novel ϵ-sparse representation is provided. In defining ϵ-sparse representations, we use a natural generalization of the classical ϵ-insensitive cost function for vectors. The insensitive parameter of the SVM probl...
Elmentve itt :
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| Dokumentumtípus: | Cikk |
| Megjelent: |
2006
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| Sorozat: | Acta cybernetica
17 No. 3 |
| Kulcsszavak: | Számítástechnika, Kibernetika |
| Tárgyszavak: | |
| Online Access: | http://acta.bibl.u-szeged.hu/12784 |
| Tartalmi kivonat: | Relation between a family of generalized Support Vector Machine (SVM) problems and the novel ϵ-sparse representation is provided. In defining ϵ-sparse representations, we use a natural generalization of the classical ϵ-insensitive cost function for vectors. The insensitive parameter of the SVM problem is transformed into component-wise insensitivity and thus overall sparsification is replaced by component-wise sparsification. The connection between these two problems is built through the generalized Moore-Penrose inverse of the Gram matrix associated to the kernel. |
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| Terjedelem/Fizikai jellemzők: | 605-614 |
| ISSN: | 0324-721X |