Validity Estimates for Loopy Belief Propagation on Binary Real-world Networks

Mooij, Joris M., Kappen, Hilbert J.

Neural Information Processing Systems 

We introduce a computationally efficient method to estimate the validity of the BP method as a function of graph topology, the connectivity strength, frustration and network size. We present numerical results that demonstrate the correctness of our estimates for the uniform random model and for a real-world network ("C.

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