Finding the M Most Probable Configurations Using Loopy Belief Propagation

  title={Finding the M Most Probable Configurations Using Loopy Belief Propagation},
  author={Chen Yanover and Yair Weiss},
Loopy belief propagation (BP) has been successfully used in a number of difficult graphical models to find the most probable configuration of the hidden variables. In applications ranging from protein folding to image analysis one would like to find not just the best configuration but rather the top M . While this problem has been solved using the junction tree formalism, in many real world problems the clique size in the junction tree is prohibitively large. In this work we address the problem… CONTINUE READING
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