Add to ORKGThe paper presents Bayesian Networks (BNs) in the context of methodological requirements for building knowledge representation systems in the domain of reliability engineering. BNs, by their nature, are especially useful as a formal and computable language for modeling stochastic and epistemic uncertainty intrinsically present in conceptualization and reasoning about reliability.W artykule przedstawiono sieci bayesowskie (BNs) w kontekście wymogów metodologicznych do budowy systemów reprezentacji wiedzy w dziedzinie inżynierii niezawodności. Ze swej natury, sieci bayesowskie, są szczególnie przydatne jako formalny i obliczalny język do modelowania niepewności stochastycznej i epistemicznej, Takie rodzaje niepewności są istotną cechą koncept...
A Bayesian network (BN) is a powerful tool to represent the quantitative and qualitative features of...
The enhanced Bayesian network (eBN) methodology described in the companion paper facilitates the ass...
Bayesian Networks (BNs) model problems that involve uncertainty. A BN is a directed graph, whose nod...
Sieci Bayesa są strukturami graficznymi będącymi skierowanymi grafami acyklicznymi prezentującymi z...
Over the last decade, Bayesian networks (BNs) have become a popular tool for modelling many kinds of...
Bayesian networks are a very general and powerful tool that can be used for a large number of proble...
This paper presents an extension of Bayesian networks (BN) applied to reliability analysis. We devel...
Over the last decade, Bayesian networks (BNs) have become a popular tool for modeling many kinds of ...
The Bayesian network (BN) is a powerful model for probabilistic knowledge representation and inferen...
Bayesian belief nets (BBNs) provide an effective way of reasoning under uncertainty. They have a fir...
Given the complexity of the domains for which we would like to use computers as reasoning engines, ...
Bayesian networks are a popular mechanism for dealing with uncertainty in complex situations. They a...
The objective of this paper is to present work on how a Bayesian Belief Network for a software safet...
This paper considers the problem of reliability analysis of that consists groups of components organ...
Artykuł jest przegladem problemów analizowanych przy pomocy sieci bayesowskich. Siec bayesows...
A Bayesian network (BN) is a powerful tool to represent the quantitative and qualitative features of...
The enhanced Bayesian network (eBN) methodology described in the companion paper facilitates the ass...
Bayesian Networks (BNs) model problems that involve uncertainty. A BN is a directed graph, whose nod...
Sieci Bayesa są strukturami graficznymi będącymi skierowanymi grafami acyklicznymi prezentującymi z...
Over the last decade, Bayesian networks (BNs) have become a popular tool for modelling many kinds of...
Bayesian networks are a very general and powerful tool that can be used for a large number of proble...
This paper presents an extension of Bayesian networks (BN) applied to reliability analysis. We devel...
Over the last decade, Bayesian networks (BNs) have become a popular tool for modeling many kinds of ...
The Bayesian network (BN) is a powerful model for probabilistic knowledge representation and inferen...
Bayesian belief nets (BBNs) provide an effective way of reasoning under uncertainty. They have a fir...
Given the complexity of the domains for which we would like to use computers as reasoning engines, ...
Bayesian networks are a popular mechanism for dealing with uncertainty in complex situations. They a...
The objective of this paper is to present work on how a Bayesian Belief Network for a software safet...
This paper considers the problem of reliability analysis of that consists groups of components organ...
Artykuł jest przegladem problemów analizowanych przy pomocy sieci bayesowskich. Siec bayesows...
A Bayesian network (BN) is a powerful tool to represent the quantitative and qualitative features of...
The enhanced Bayesian network (eBN) methodology described in the companion paper facilitates the ass...
Bayesian Networks (BNs) model problems that involve uncertainty. A BN is a directed graph, whose nod...