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 :
| Szerzők: | |
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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 |
| LEADER | 01399nab a2200229 i 4500 | ||
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| 008 | 161015s2006 hu o 0|| eng d | ||
| 022 | |a 0324-721X | ||
| 040 | |a SZTE Egyetemi Kiadványok Repozitórium |b hun | ||
| 041 | |a eng | ||
| 100 | 1 | |a Szabó Zoltán | |
| 245 | 1 | 0 | |a ϵ-sparse representations |h [elektronikus dokumentum] : |b generalized sparse approximation and the equivalent family of SVM tasks / |c Szabó Zoltán |
| 260 | |c 2006 | ||
| 300 | |a 605-614 | ||
| 490 | 0 | |a Acta cybernetica |v 17 No. 3 | |
| 520 | 3 | |a 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. | |
| 650 | 4 | |a Természettudományok | |
| 650 | 4 | |a Számítás- és információtudomány | |
| 695 | |a Számítástechnika, Kibernetika | ||
| 700 | 0 | 1 | |a Lőrincz András |e aut |
| 856 | 4 | 0 | |u http://acta.bibl.u-szeged.hu/12784/1/Lorincz_2006_ActaCybernetica.pdf |z Dokumentum-elérés |