5. The method of claim 4 , wherein the stacked approximation includes: learning the parameters of the collective probabilistic model in a first approximation; and refining the learned parameters of the collective probabilistic model in a second approximation.
4. The method of claim 1 , wherein the learning comprises employing a stacked approximation of the collection classification model to learn the parameters of the collective classification model.