- Tytuł:
- Dynamical ensemble selection - experimental analysis on homogenous pool of classifiers
- Autorzy:
-
Baczyńska, P.
Burduk, R. - Powiązania:
- https://bibliotekanauki.pl/articles/334009.pdf
- Data publikacji:
- 2015
- Wydawca:
- Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
- Tematy:
-
classifier fusion
dynamic ensemble selection
multiple classifier system
fuzja klasyfikatorów
wybór dynamicznego zespołu
system klasyfikatorowy - Opis:
- The paper presents the dynamic ensemble selection based on the analysis of the decision profiles. These profiles are obtained from a posteriori probability functions returned from the base classifiers during the training process. Presented in the paper dynamic ensemble selection algorithms are dedicated to the binary classification task. In order to verify these algorithms, a number of experiments have been carried out on several medical data sets. The proposed dynamic ensemble selection is experimentally compared against the ensemble with the sum fusion method. As base classifiers we used the pool of homogeneous classifiers. The obtained results are promising because we could improve the classification accuracy of the ensemble classifier.
- Źródło:
-
Journal of Medical Informatics & Technologies; 2015, 24; 107-112
1642-6037 - Pojawia się w:
- Journal of Medical Informatics & Technologies
- Dostawca treści:
- Biblioteka Nauki
Artykuł