Bayesian logic is a type of statistical analysis that can quantify an uncertain outcome by determining its probability of occurrence using previously known, related data. Bayesian filters are used ...

Attack graphs are commonly used to analyse the security of medium-sized to large networks. Based on a scan of the network and likelihood information of vulnerabilities, attack graphs can be ...

Bayesian models and inference is a class of machine learning that is useful for solving problems where the amount of data is scarce and prior knowledge about the application allows you to draw better ...

Signed directed graph (SDG), as a widely applied fault diagnosis approach, is unable to express complicated logic relations other than logic OR and usually results in spurious interpretations. To ...

Microsoft may be euthanizing its animated helper Clippy but the company is betting its future that the concept is right. Researchers believe that Bayesian logic -- guessing what should happen next ...

On Thursday the 21st of November 2019, M.Sc. Topi Talvitie will defend his doctoral thesis on Counting and Sampling Directed Acyclic Graphs for Learning Bayesian Networks. The thesis is a part of ...