http://hdl.handle.net/20.500.12128/19683
Tytuł: | The Huber's functions and their application to a classification problem |
Autor: | Gacki, Henryk Kulawik, Agnieszka |
Słowa kluczowe: | the Huber's function; multivariate normal model; robust estimator; classifier; the Karhunen-Loeve Transform |
Data wydania: | 2020 |
Źródło: | Matematyka Stosowana, Vol. 48, no. 2 (2020), s. 101-114 |
Abstrakt: | In the following paper a classification problem with two multivariate normally distributed classes is considered. The problem is solved in a case of an empirical real situation (a motors data) using the Karhunen-Loeve Transform and classifying functions based on estimators for unknown parameters of a multivariate normal distribution. We consider the maximum likelihood estimator and a robust one. The robust estimator bases on the Huber functions. The corresponding classifying functions (classifiers) are compared using the Leave-One-Out method. |
URI: | http://hdl.handle.net/20.500.12128/19683 |
DOI: | 10.14708/ma.v48i1.7045 |
ISSN: | 1730-2668 |
Pojawia się w kolekcji: | Artykuły (WNŚiT) |
Plik | Opis | Rozmiar | Format | |
---|---|---|---|---|
Gacki_The_Huber_functions_and_their_application_to_a_classification_problem.pdf | 1,54 MB | Adobe PDF | Przejrzyj / Otwórz |
Uznanie Autorstwa 3.0 Polska Creative Commons