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Decision Tree Induction Systems: A Bayesian Analysis
[article]
2013
arXiv
pre-print
Decision tree induction systems are being used for knowledge acquisition in noisy domains. This paper develops a subjective Bayesian interpretation of the task tackled by these systems and the heuristic methods they use. It is argued that decision tree systems implicitly incorporate a prior belief that the simpler (in terms of decision tree complexity) of two hypotheses be preferred, all else being equal, and that they perform a greedy search of the space of decision rules to find one in which
arXiv:1304.2732v1
fatcat:h77ayiwngbc4xoij45nw7vzsdm