Calculating Complexity: DL(B)
Description Length of the Bayesian Network — DL(B)
Calculating DL(G)
DL(G) = \sum\limits_i^n {\left( {{{\log }_2}(n) + {{\log }_2}\left( {\begin{array}{*{20}{c}} n\\ {\left\| {P{a_i}} \right\|} \end{array}} \right)} \right)}
where
Calculating DL(P|G)
where
As the probability p cannot be known prior to learning the network, we use the following classical heuristic in BayesiaLab:
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