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Abstract:
We discuss a strategy for polychotomous classification that
involves estimating class probabilities for each pair of classes,
and then coupling the estimates together. The coupling model is
similar to the Bradley-Terry method for paired comparisons. We
study the nature of the class probability estimates that arise, and
examine the performance of the procedure in real and simulated
datasets. Classifiers used include linear discriminants, nearest
neighbors, and the support vector machine.
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