Title:
Measuring Connection Strengths and Link Strengths in Discrete Bayesian Networks

dc.contributor.author Ebert-Uphoff, Imme
dc.contributor.corporatename Georgia Institute of Technology. College of Computing
dc.date.accessioned 2007-05-08T14:34:10Z
dc.date.available 2007-05-08T14:34:10Z
dc.date.issued 2007-01-29
dc.description.abstract This 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.identifier.uri http://hdl.handle.net/1853/14331
dc.language.iso en_US en
dc.publisher Georgia Institute of Technology en
dc.relation.ispartofseries SIC Technical Reports; GT-IIC-07-01 en
dc.subject Blind average link strength
dc.subject Connection strength measures
dc.subject Link strength measures
dc.subject Discrete Bayesian networks
dc.subject True average link strength
dc.title Measuring Connection Strengths and Link Strengths in Discrete Bayesian Networks en
dc.type Text
dc.type.genre Technical Report
dspace.entity.type Publication
local.contributor.corporatename College of Computing
local.contributor.corporatename School of Interactive Computing
local.relation.ispartofseries College of Computing Technical Report Series
local.relation.ispartofseries School of Interactive Computing Technical Report Series
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