Anizotropiškumo santykio itaka Gauso laukų klasifikavimo klaidai

Autor: Dučinskas, Kęstutis, Dreižienė, Lina
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Lietuvos Matematikos Rinkinys, Vol 47, Iss spec. (2021)
Lietuvos matematikos rinkinys : Lietuvos matematikų draugijos XLVIII konferencijos mokslo darbai, Vilnius, 2007, t. 47, spec. Nr., p. 359-363
ISSN: 0132-2818
2335-898X
Popis: Paper deals with statistical classification of spatial data as a part of widely applicable statistical approach to pattern recognition. Error rates in supervised classification of Gaussian random field observation into one of two populations specified by different constant means and common stationary geometric anisotropic covariance are considered. Formula for the exact Bayesian error rate is derived. The influence of the ratio of anisotropy to the error rates is evaluated numerically for the case of complete parametric certainty.
Databáze: OpenAIRE