Bayesian Computation Rule Normalization and Marginalization with a query variable XXX, evidence eee and hidden variables YYY. P(X∣e)=α⋅P(X,e)=α⋅(∑y∈YP(X,e,y))P(X \mid e)=\alpha \cdot P(X, e)=\alpha \cdot\left(\sum_{y \in Y} P(X, e, y)\right)P(X∣e)=α⋅P(X,e)=α⋅y∈Y∑P(X,e,y)