Characterization of Dynamic Bayesian Network The Dynamic Bayesian Network as temporal network

被引：0

作者：

Ghanmi, Nabil ^{[1
]}

Mahjoub, Mohamed Ali ^{[2
]}

Ben Amara, Najoua Essoukri ^{[1
]}

机构：

[1] Natl Sch Engn Sousse, Sousse, Tunisia

[2] Inst Engn Monastir, Monastir, Tunisia

来源：

INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS | 2011年 / 2卷 / 07期

关键词：

DBN; DAG; Inference; Learning; HMM; EM Algorithm; SEM; MLE; coupled HMMs;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this report, we will be interested at Dynamic Bayesian Network (DBNs) as a model that tries to incorporate temporal dimension with uncertainty. We start with basics of DBN where we especially focus in Inference and Learning concepts and algorithms. Then we will present different levels and methods of creating DBNs as well as approaches of incorporating temporal dimension in static Bayesian network.

引用

页码：53 / 60

页数：8

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