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Fig. 1 | BMC Bioinformatics

Fig. 1

From: Significance evaluation in factor graphs

Fig. 1

A factor graph with two variables. The probability function is p(x 1,x 2)f a (x 1)f b (x 1,x 2). It is customary to shade observed variables and leave latent variables unshaded. To calculate the marginal probability of the observed variables, we need to sum out the latent variables. The sum-product algorithm does that efficiently taking advantage of the conditional independence structure of the graph

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