Part of Advances in Neural Information Processing Systems 10 (NIPS 1997)
Gareth James, Trevor Hastie
A new class of plug in classification techniques have recently been de(cid:173) veloped in the statistics and machine learning literature. A plug in clas(cid:173) sification 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 Classi(cid:173) fier (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.