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The general BP inference (belprop_inf_engine) engine for bayesian networks does
not compute marginals properly on even the simplest networks. The Pearl BP
inference engine works flawlessly, but the general BP engine for bayesian
networks does not. The general BP inference engine for factor graphs works
properly also.
Thanks,
Jason
Original issue reported on code.google.com by [email protected] on 31 Jul 2010 at 10:15
The text was updated successfully, but these errors were encountered:
The belprop_inf_engine gives incorrect results of the MPE as well.
The MPE returned by the belprop_inf_engine is different from the ones
calculated by other engines for the Cloudy/Rain/Sprinkler/Wet network.
I attach a script to reproduce the error.
Original issue reported on code.google.com by
[email protected]
on 31 Jul 2010 at 10:15The text was updated successfully, but these errors were encountered: