- Tytuł:
- Kernel Ho-Kashyap classifier with generalization control
- Autorzy:
- Łęski, J.
- Powiązania:
- https://bibliotekanauki.pl/articles/907269.pdf
- Data publikacji:
- 2004
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
metoda jądrowa
metoda odporna
projekt klasyfikatora
kernel methods
classifier design
Ho-Kashyap classifier
generalization control
robust methods - Opis:
- This paper introduces a new classifier design method based on a kernel extension of the classical Ho-Kashyap procedure. The proposed method uses an approximation of the absolute error rather than the squared error to design a classifier, which leads to robustness against outliers and a better approximation of the misclassification error. Additionally, easy control of the generalization ability is obtained using the structural risk minimization induction principle from statistical learning theory. Finally, examples are given to demonstrate the validity of the introduced method.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2004, 14, 1; 53-61
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł