Knowledge-driven and data-driven methods are the two representative categories of intelligent technologies used in fault diagnosis nuclear power plants. have advantages interpretability robustness, while better performance ease modeling inference efficiency. Given complementarity methods, a combination them is worthwhile investigation. In this work, we introduce new techniques based on Bayesian...

The effectiveness of Bayesian network construction is a function of the predictive ability and speed of inference of the resulting network, the effort and expertise required to construct the network, and the effort and expertise required to understand the network. We empirically evaluate three alternative methods for constructing Bayesian networks from data, considering both objective performan...

I present a formalism that combines two methodologies: objective Bayesianism and Bayesian nets. According to objective Bayesianism, an agent’s degrees of belief (i) ought to satisfy the axioms of probability, (ii) ought to satisfy constraints imposed by background knowledge, and (iii) should otherwise be as non-committal as possible (i.e. have maximum entropy). Bayesian nets offer an efficient ...

On the basis of examining the existing restricted Bayesian network classifiers, a new Bayes-theorem-based and more strictly restricted Bayesian-network-based classification model DLBAN is proposed, which can be viewed as a double-level Bayesian network augmented naive Bayes classification. The experimental results show that the DLBAN classifier is better than the TAN classifier in the most cases.

A Bayesian network is a graphical model that encodes probabilistic relationships among variables of interest. Dynamic Bayesian networks are an extension of Bayesian networks for modeling dynamic processes. In this paper we present a decision support system based on a dynamic Bayesian network. Its purpose is to monitor the dry weight of patients suffering from chronic renal failure treated by he...

This thesis is concerned with Bayesian networks and their applications as inference mechanisms in conjunction with Geographic Information Systems. More specifically the problem that concerns us is the assessment of the risk of desertification of certain burned areas in Attica, Greece by combining data from various sources together with expert knowledge about the desertification process. The fir...