MPE inference in Conditional Linear Gaussian Networks
Given evidence on a set of variables in a Bayesian network, the most probable explanation (MPE) is the problem of nding a con guration of the remaining variables with maximum posterior probability. This problem has previously been addressed for discrete Bayesian networks and can be solved using...
Main Authors: | , , , , |
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Format: | info:eu-repo/semantics/article |
Language: | English |
Published: |
2017
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Online Access: | http://hdl.handle.net/10835/4860 |