An introduction to elicitation of experts' probabilities, which illustrates common problems with reasoning and how to circumvent them during elicitation
Contains fulltext : 32747.pdf (preprint version ) (Open Access)BNAIC'0
Abstract—Combining expert knowledge and user explanation with automated reasoning in domains with un...
Expert systems often employ a weight on rules to capture conditional probabilities. For example, in ...
An introduction to thinking about and understanding probability that highlights the main pits and tr...
Expert opinion and judgment enter into the practice of statistical inference and decision-making in ...
Elicitation is the process of extracting expert knowledge about some unknown quantity or quantities,...
Structured expert judgment (SEJ) is a method for obtaining estimates of uncertain quantities from gr...
Elicitation is the process of extracting expert knowledge about some unknown quantity or quantities,...
A major challenge in constructing a Bayesian network (BN) is defining the node probability tables (N...
We review recent developments in applying Bayesian probabilistic and statistical ideas to expert sys...
Artificial Intelligence (AI), and in particular, the explainability thereof, has gained phenomenal a...
We examine a graphical representation of uncertain knowledge called a Bayesian network. The represen...
Bayesian networks are a very general and powerful tool that can be used for a large number of proble...
As a compact graphical framework for representation of multivariate probabilitydistributions, Bayesi...
Elicitation is the process of formulating a persons knowledge and beliefs about one or more uncertai...
Contains fulltext : 32747.pdf (preprint version ) (Open Access)BNAIC'0
Abstract—Combining expert knowledge and user explanation with automated reasoning in domains with un...
Expert systems often employ a weight on rules to capture conditional probabilities. For example, in ...
An introduction to thinking about and understanding probability that highlights the main pits and tr...
Expert opinion and judgment enter into the practice of statistical inference and decision-making in ...
Elicitation is the process of extracting expert knowledge about some unknown quantity or quantities,...
Structured expert judgment (SEJ) is a method for obtaining estimates of uncertain quantities from gr...
Elicitation is the process of extracting expert knowledge about some unknown quantity or quantities,...
A major challenge in constructing a Bayesian network (BN) is defining the node probability tables (N...
We review recent developments in applying Bayesian probabilistic and statistical ideas to expert sys...
Artificial Intelligence (AI), and in particular, the explainability thereof, has gained phenomenal a...
We examine a graphical representation of uncertain knowledge called a Bayesian network. The represen...
Bayesian networks are a very general and powerful tool that can be used for a large number of proble...
As a compact graphical framework for representation of multivariate probabilitydistributions, Bayesi...
Elicitation is the process of formulating a persons knowledge and beliefs about one or more uncertai...
Contains fulltext : 32747.pdf (preprint version ) (Open Access)BNAIC'0
Abstract—Combining expert knowledge and user explanation with automated reasoning in domains with un...
Expert systems often employ a weight on rules to capture conditional probabilities. For example, in ...