Conditional Models on the Ranking Poset

  title={Conditional Models on the Ranking Poset},
  author={Guy Lebanon and John D. Lafferty},
A distance-based conditional model on the ranking poset is presented for use in classification and ranking. The model is an extension of the Mallows model, and generalizes the classifier combination methods used by several ensemble learning algorithms, including error correcting output codes, discrete AdaBoost, logistic regression and cranking. The algebraic structure of the ranking poset leads to a simple Bayesian interpretation of the conditional model and its special cases. In addition to a… CONTINUE READING
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