Klasifikavimo klaidos vertinimas, pagrįstas semivariogramomis Gauso universalaus krigingo modeliui

Autor:	Dučinskas, Kęstutis, Dreižienė, Lina
Jazyk:	litevština
Rok vydání:	2021
Předmět:	Statistics::Machine Learning Statistics::Methodology pairwise discriminant function semivariogram actual error rate Statistics::Computation
Zdroj:	Lietuvos statistikos darbai, Vilnius : Vilniaus universiteto leidykla, 2021, t. 60, Nr. 1, p. 1-7
ISSN:	1392-642X 2029-7262
Popis:	Bayes multiclass classification of spatial Gaussian data following the universal kriging model is considered. The closed-form expressions for the maximum likelihood (ML) estimator of regression parameters and the actual error rate (AER) in terms of semivariograms are derived.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3ac8d9ef6c6434ab9b53e2866ccc4a4f https://repository.vu.lt/VU:ELABAPDB123689079&prefLang=en_US Zobrazit plný text záznamu