Structure Learning of Bayesian Networks with Bounded Treewidth Using Mixed Integer Linear Programming
When given a Bayesian network, a common use of it is calculating conditional probabilities. This is known as inference. In order to be able to infer effectively, the structure of the Bayesian network is required to have low treewidth. Therefore, the problem of learning the structure of Bayesian netw...
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| Format: | Others |
| Language: | English |
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KTH, Matematik (Avd.)
2014
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-148972 |