What does belief propagation do? Belief propagation, also known as sum–product message passing, is a message-passing algorithm for performing inference on graphical models, such as Bayesian networks and Markov random fields.
What is loopy belief propagation? 2 Loopy Belief Propagation. The general idea behined Loopy Belief Propagation (LBP) is to run Belief Propagation on a graph containing loops, despite the fact that the presence of loops does not guarantee convergence.
What is a message passing algorithm? Message passing algorithm which is an iterative decoding algorithm factorizes the global function of many variables into product of simpler local functions, whose arguments are the subset of variables.
What is Bethe free energy? We show that BP can only converge to a stationary point of an approximate free energy, known as the Bethe free energy in statistical physics. This result characterizes BP fixed-points and makes connections with variational approaches to approximate inference.