Hi,
I'm totally new to probabilistic graphical models and opengm.
I have implemented simple pairwise Markov network based on opengm samples and
PGM course instructed by professor Dophne Koller, the network structure attached.
The code hosted on this repository:
https://github.com/alishir/opengm-quickstartEnergy calculation is fine, but when I using belief propagation to find most probable labling,
the inference algorithm doesn't converge. I also used TRBP algorithm but it cause run time
exception with following message.
OpenGM assertion mpParameter.specialParameter_[i] > 0 failed in file /usr/local/include/opengm/inference/messagepassing/messagepassing_trbp.hxx, line 120
Would you please help me to solve problems in LBP convergence and TRBP exception?
Regards,
Ali