Learning Classification Trees

  • Wray, Buntine
  • Published 1992

Abstract

Algorithms for learning classification trees have had successes in artificial intelligence and statistics over many years. This paper outlines how a tree learning algorithm can be derived from Bayesian decision theory. This introduces Bayesian techniques for splitting, smoothing, and tree averaging. The splitting rule turns out to be similar to Quinlan's… (More)

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