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Abstract:
A new class of plug in classification techniques have
recently been developed in the statistics and machine learning
literature. A plug in classification technique (PaCT) is a method
that takes a standard classifier (such as LDA or TREES) and plugs
it into an algorithm to produce a new classifier. The standard
classifier is known as the Plug in Classifier (PiC). These methods
often produce large improvements over using a single classifier. In
this paper we investigate one of these methods and give some
motivation for its success.
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