We represent knowledge by probability distributions of mixed continuousand discrete variables. From the joint distribution of all items,one can compute arbitrary conditional distributions, which may beused for prediction. However, in many cases only some marginaldistributions, inverse...

We present a probabilistic expert system permitting the acqusition and processing of uncertain rules. A joint distribution is computed which fits the constraints given by the rules best in an information theoretic sense. So no external (in-)dependencies between the variables are assumed. The...