MAP inference in dynamic hybrid Bayesian networks

MAP inference in dynamic hybrid Bayesian networks

In this paper, we study the maximum a posteriori (MAP) problem in dynamic hybrid Bayesian networks. We are interested in finding the sequence of values of a class variable that maximizes the posterior probability given evidence. We propose an approximate solution based on transforming the MAP proble...

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Bibliographic Details
Main Authors: Ramos López, Darío, Masegosa, Andrés R., Martínez, Ana M., Salmerón Cerdán, Antonio, Nielsen, Thomas D., Langseth, Helge, Madsen, Anders L.
Format: info:eu-repo/semantics/article
Language:English
Published: 2017
Subjects:
MAP inference
Hybrid Bayesian networks
Temporal models
Online Access:http://hdl.handle.net/10835/4884

Internet

http://hdl.handle.net/10835/4884

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