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Example giving several solutions x with higher and lower P(x), candidate components, and the marginal probability distribution of feature values; The broader the spread of the values for a given feature, the more ambiguous the feature. The design problem of calculating c based on constraints ϵ and Pϵ (which is based on α1 and α2), amounts to finding a component who's value has a controlled statistical spread.
