Learning Dynamic Bayesian Networks structure based on a new hybrid K2-Bat learning algorithm

The temporal dimension makes it difficult and complex to learn the Dynamic Bayesian Networks structure for huge search space. We propose a new hybrid K2-Bat algorithm to learn the structure of Dynamic Bayesian Networks. This work contains two optimal strategies: an ordering-based algorithm INOK2 to...

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Vydané v:	Journal of the Chinese Institute of Engineers Ročník 44; číslo 1; s. 41 - 52
Hlavní autori:	Deng, Yu-Jing, Liu, Hao-Ran, Wang, Hai-Yu, Liu, Bin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Taylor & Francis 02.01.2021
Predmet:	adaptive binary bat algorithm Dynamic Bayesian Networks improved K2 algorithm structure learning
ISSN:	0253-3839, 2158-7299
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