which places a weight formula_177 on the probability of each variable value co-occurrence, formula_115. This allows that certain probabilities may carry more or less significance than others, thereby allowing the quantification of relevant "holistic" or "Prägnanz" factors. In the above example, using larger relative weights for formula_179, formula_180, and formula_181 would have the effect of assessing greater "informativeness" for the relation formula_174 than for the relation formula_175, which may be desirable in some cases of pattern recognition, and the like. This weighted mutual information is a form of weighted KL-Divergence, which is known to take negative values for some inputs, and there are examples where the weighted mutual information also takes negative values.