Optimized realization of Bayesian networks in reduced normal form using latent variable model
Optimized realization of Bayesian networks in reduced normal form using latent variable model
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Scope and Contents
Contents
Bayesian networks in their Factor Graph Reduced Normal Form are a powerful paradigm for implementing inference graphs. Unfortunately, the computational and memory costs of these networks may be considerable even for relatively small networks, and this is one of the main reasons why these structures have often been underused in practice. In this wor...
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Full title
Optimized realization of Bayesian networks in reduced normal form using latent variable model
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TN_cdi_proquest_journals_2917911716
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2917911716
Other Identifiers
ISSN
1432-7643
E-ISSN
1433-7479
DOI
10.1007/s00500-021-05642-3
