Advanced Approach for Distributions Parameters Learning in Bayesian Networks with Gaussian Mixture Models and Discriminative Models

Bayesian networks are a powerful tool for modelling multivariate random variables. However, when applied in practice, for example, for industrial projects, problems arise because the existing learning and inference algorithms are not adapted to real data. This article discusses two learning and infe...

Full beskrivning

Bibliografiska uppgifter

Huvudupphov:	Irina Deeva, Anna Bubnova, Anna V. Kalyuzhnaya
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2023-01-01
Serie:	Mathematics
Ämnen:	Bayesian networks parameters learning Gaussian mixture model classification models
Länkar:	https://www.mdpi.com/2227-7390/11/2/343
Taggar:	Lägg till en tagg Inga taggar, Lägg till första taggen!