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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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Bayesian networks in their Factor Graph Reduced Normal Form (FGrn) 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...
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Optimized Realization of Bayesian Networks in Reduced Normal Form using Latent Variable Model
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TN_cdi_proquest_journals_2169134797
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2169134797
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E-ISSN
2331-8422
DOI
10.48550/arxiv.1901.06201
