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...

全面介紹

書目詳細資料

Principais autores:	Irina Deeva, Anna Bubnova, Anna V. Kalyuzhnaya
格式:	Artigo
語言:	Inglês
出版:	MDPI AG 2023-01-01
叢編:	Mathematics
主題:	Bayesian networks parameters learning Gaussian mixture model classification models
在線閱讀:	https://www.mdpi.com/2227-7390/11/2/343
標簽:	添加標簽 沒有標簽, 成為第一個標記此記錄!