Figure 1

Posterior distribution of hyper-parameter. In the figure ${\mathcal{B}}_{50}$ is the solid line with circles, ${\mathcal{B}}_{100}$ is the dashed line and KEGG is the dotted line with crosses. This figure summarizes the typical hyper-parameter found by the BN-E for both sources of extra knowledge available, ${\mathcal{B}}_{50}$ and ${\mathcal{B}}_{100}$, when applied to the Gaussian and Netbuilder data and for the extra knowledge from KEGG applied to the Real data. The posterior distribution of the sampled hyper-parameters is estimated with a kernel estimator.