Matches in SemOpenAlex for { <https://semopenalex.org/work/W2132596095> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W2132596095 abstract "Given a Bayesian network of discrete random variables with a hyper-Dirichlet prior, a method is proposed for assigning Dirichlet priors to the conditional probabilities of structurally different networks. It defines a distance measure between priors which is to be minimized for the assignment process. Intuitively one would expect that if two models priors are to qualify as being 'close' in some sense, then their posteriors should also be nearby after an observation. However one does not know in advance what will be observed next. Thus we are led to propose an expectation of Kullback-Leibler distances over all possible next observations to define a measure of distance between priors. In conjunction with the additional assumptions of global and local independence of the parameters, a number of theorems emerge which are usually taken as reasonable assumptions in the Bayesian network literature. A simple example is given to illustrate the technique." @default.
- W2132596095 created "2016-06-24" @default.
- W2132596095 creator A5068215557 @default.
- W2132596095 date "1996-01-01" @default.
- W2132596095 modified "2023-09-23" @default.
- W2132596095 title "On compatible priors for Bayesian networks" @default.
- W2132596095 cites W1568555062 @default.
- W2132596095 cites W1593793857 @default.
- W2132596095 cites W1989926363 @default.
- W2132596095 cites W2008906462 @default.
- W2132596095 cites W2069469807 @default.
- W2132596095 cites W2101736851 @default.
- W2132596095 cites W2149673191 @default.
- W2132596095 cites W2170112109 @default.
- W2132596095 cites W113525123 @default.
- W2132596095 cites W2523839503 @default.
- W2132596095 doi "https://doi.org/10.1109/34.537344" @default.
- W2132596095 hasPublicationYear "1996" @default.
- W2132596095 type Work @default.
- W2132596095 sameAs 2132596095 @default.
- W2132596095 citedByCount "12" @default.
- W2132596095 countsByYear W21325960952013 @default.
- W2132596095 countsByYear W21325960952021 @default.
- W2132596095 crossrefType "journal-article" @default.
- W2132596095 hasAuthorship W2132596095A5068215557 @default.
- W2132596095 hasConcept C105795698 @default.
- W2132596095 hasConcept C107673813 @default.
- W2132596095 hasConcept C11413529 @default.
- W2132596095 hasConcept C119857082 @default.
- W2132596095 hasConcept C124101348 @default.
- W2132596095 hasConcept C134306372 @default.
- W2132596095 hasConcept C154945302 @default.
- W2132596095 hasConcept C169214877 @default.
- W2132596095 hasConcept C177769412 @default.
- W2132596095 hasConcept C182310444 @default.
- W2132596095 hasConcept C2780009758 @default.
- W2132596095 hasConcept C2781280628 @default.
- W2132596095 hasConcept C33724603 @default.
- W2132596095 hasConcept C33923547 @default.
- W2132596095 hasConcept C35651441 @default.
- W2132596095 hasConcept C41008148 @default.
- W2132596095 hasConcept C79772020 @default.
- W2132596095 hasConceptScore W2132596095C105795698 @default.
- W2132596095 hasConceptScore W2132596095C107673813 @default.
- W2132596095 hasConceptScore W2132596095C11413529 @default.
- W2132596095 hasConceptScore W2132596095C119857082 @default.
- W2132596095 hasConceptScore W2132596095C124101348 @default.
- W2132596095 hasConceptScore W2132596095C134306372 @default.
- W2132596095 hasConceptScore W2132596095C154945302 @default.
- W2132596095 hasConceptScore W2132596095C169214877 @default.
- W2132596095 hasConceptScore W2132596095C177769412 @default.
- W2132596095 hasConceptScore W2132596095C182310444 @default.
- W2132596095 hasConceptScore W2132596095C2780009758 @default.
- W2132596095 hasConceptScore W2132596095C2781280628 @default.
- W2132596095 hasConceptScore W2132596095C33724603 @default.
- W2132596095 hasConceptScore W2132596095C33923547 @default.
- W2132596095 hasConceptScore W2132596095C35651441 @default.
- W2132596095 hasConceptScore W2132596095C41008148 @default.
- W2132596095 hasConceptScore W2132596095C79772020 @default.
- W2132596095 hasLocation W21325960951 @default.
- W2132596095 hasOpenAccess W2132596095 @default.
- W2132596095 hasPrimaryLocation W21325960951 @default.
- W2132596095 hasRelatedWork W1513861746 @default.
- W2132596095 hasRelatedWork W1550283970 @default.
- W2132596095 hasRelatedWork W1919904520 @default.
- W2132596095 hasRelatedWork W1987877757 @default.
- W2132596095 hasRelatedWork W1995086303 @default.
- W2132596095 hasRelatedWork W2014297061 @default.
- W2132596095 hasRelatedWork W2017842080 @default.
- W2132596095 hasRelatedWork W2026744236 @default.
- W2132596095 hasRelatedWork W2099158950 @default.
- W2132596095 hasRelatedWork W2120964732 @default.
- W2132596095 hasRelatedWork W2127186374 @default.
- W2132596095 hasRelatedWork W2136592684 @default.
- W2132596095 hasRelatedWork W2149711281 @default.
- W2132596095 hasRelatedWork W2150847344 @default.
- W2132596095 hasRelatedWork W2151388649 @default.
- W2132596095 hasRelatedWork W2170112109 @default.
- W2132596095 hasRelatedWork W2947813134 @default.
- W2132596095 hasRelatedWork W3105640040 @default.
- W2132596095 hasRelatedWork W3105820725 @default.
- W2132596095 hasRelatedWork W2099374219 @default.
- W2132596095 isParatext "false" @default.
- W2132596095 isRetracted "false" @default.
- W2132596095 magId "2132596095" @default.
- W2132596095 workType "article" @default.