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 two-layer bayesian network


Approximate Inference A lgorithms for Two-Layer Bayesian Networks

Neural Information Processing Systems

We present a class of approximate inference algorithms for graphical models of the QMR-DT type. We give convergence rates for these al(cid:173) gorithms and for the Jaakkola and Jordan (1999) algorithm, and verify these theoretical predictions empirically.