Zobrazeno 1 - 4
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pro vyhledávání: '"Bayesian-network engineering"'
Autor:
van der Gaag, L.C., Renooij, S., Facchini, Alessandro, Jaeger, Manfred, Nielsen, Thomas Dyhre
Causal interaction models, such as the well-known noisy-or and leaky noisy-or models, have become quite popular as a means to parameterize conditional probability tables for Bayesian networks. In this paper we focus on the engineering of subnetworks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______101::dac58bc74559b433ecd92e22e0525210
https://dspace.library.uu.nl/handle/1874/414793
https://dspace.library.uu.nl/handle/1874/414793
Causal interaction models, such as the well-known noisy-or and leaky noisy-or models, have become quite popular as a means to parameterize conditional probability tables for Bayesian networks. In this paper we focus on the engineering of subnetworks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dris___00893::79716cb3b39a5e7a26d568905f5e81ed
https://hdl.handle.net/1874/414793
https://hdl.handle.net/1874/414793
Probabilistic causal interaction models have become quite popular among Bayesian-network engineers as elicitation of all probabilities required often proves the main bottleneck in building a real-world network with domain experts. The best-known inte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______101::c131696f72149194745e0d65e079b0cf
https://dspace.library.uu.nl/handle/1874/314617
https://dspace.library.uu.nl/handle/1874/314617
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