Bibliography
Research Report
Comparison of mixture-based classification with the data-dependent pointer model for various types of components
, ,
: 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