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dc.contributor.authorEbert-Uphoff, Imme
dc.date.accessioned2007-05-08T14:34:10Z
dc.date.available2007-05-08T14:34:10Z
dc.date.issued2007-01-29
dc.identifier.urihttp://hdl.handle.net/1853/14331
dc.description.abstractThis paper discusses measures for connection strength (strength between any two nodes) and link strength (strength along a specific edge) in Discrete Bayesian Networks. The typical application is to visualize the connections in a Bayesian Network learned from data to learn more about the inherent properties of the system (e.g. in earth sciences, biology or medicine). The paper focuses on measures based on mutual information and conditional mutual information. The goal is to provide an easy-toread document that gives clear reasoning for existing measures, provides some simple extensions (modified measures for different applications), discusses the limitations of the measures, provides enough interpretation to aid a scientist in selecting the most appropriate one and suggests some new uses for link strength.en
dc.language.isoen_USen
dc.publisherGeorgia Institute of Technologyen
dc.relation.ispartofseriesSIC Technical Reports; GT-IIC-07-01en
dc.subjectBlind average link strength
dc.subjectConnection strength measures
dc.subjectLink strength measures
dc.subjectDiscrete Bayesian networks
dc.subjectTrue average link strength
dc.titleMeasuring Connection Strengths and Link Strengths in Discrete Bayesian Networksen
dc.typeTechnical Reporten
dc.contributor.corporatenameGeorgia Institute of Technology. College of Computing


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