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Research Report

Comparison of mixture-based classification with the data-dependent pointer model for various types of components

Likhonina Raissa, Suzdaleva Evgenia, Nagy Ivan

: ÚTIA AV ČR, (Praha 2016)

: Research Report 2355

: GA15-03564S, GA ČR

: mixture-based classification, data-dependent pointer, recurisive mixture estimation

: http://library.utia.cas.cz/separaty/2016/ZS/suzdaleva-0462164.pdf

(eng): The presented report is devoted to the analysis of a data-dependent pointer model, whether it brings some advantages in comparison with a data-independent pointer model at simulation and estimation of components referring to different types of distribution, including categorical, uniform, exponential and state-space components for a dynamic data-dependent model, and normal components for a static data-dependent pointer model.

: BB

07.01.2019 - 08:39