- Tytuł:
- A survey of old and new results for the test error estimation of a classifier
- Autorzy:
-
Anguita, D.
Ghelardoni, L.
Ghio, A.
Ridella, S. - Powiązania:
- https://bibliotekanauki.pl/articles/91667.pdf
- Data publikacji:
- 2013
- Wydawca:
- Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
- Tematy:
-
classifier
error
estimation
machine learning
pattern recognition - Opis:
- The estimation of the generalization error of a trained classifier by means of a test set is one of the oldest problems in pattern recognition and machine learning. Despite this problem has been addressed for several decades, it seems that the last word has not been written yet, because new proposals continue to appear in the literature. Our objective is to survey and compare old and new techniques, in terms of quality of the estimation, easiness of use, and rigorousness of the approach, so to understand if the new proposals represent an effective improvement on old ones.
- Źródło:
-
Journal of Artificial Intelligence and Soft Computing Research; 2013, 3, 4; 229-242
2083-2567
2449-6499 - Pojawia się w:
- Journal of Artificial Intelligence and Soft Computing Research
- Dostawca treści:
- Biblioteka Nauki
Artykuł