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View all- Águila ISagrado J(2016)Bayesian networks for enhancement of requirements engineeringRequirements Engineering10.1007/s00766-015-0225-321:4(461-480)Online publication date: 1-Nov-2016
This paper presents a Bayesian method for constructing probabilistic networks from databases. In particular, we focus on constructing Bayesian belief networks. Potential applications include computer-assisted hypothesis testing, automated scientific ...
Learning directed probabilistic networks from data and using them for classification purposes is a well known problem. Many learning algorithms have been shown to be successful for various kinds of learning scenarios. Basically they all generate a ...
This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). A comprehensive study of the literature on structural priors for BNs is conducted. A number of prior distributions are defined using ...
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