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Decision Graphs - An Extension of Decision Treesby: J. J. Oliver
In Proceedings of the Fourth International Workshop on Artificial Intelligence and Statistics (1993. Extended version available as TR 173, Department of Computer Science, Monash University, Clayton, Victoria 3168, AUSTRALIA), pp. 343-350.
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Abstract: In this paper, we examine Decision Graphs, a generalization of decision trees. We present an inference scheme to construct decision graphs using the Minimum Message Length Principle. Empirical tests demonstrate that this scheme compares favourably with other decision tree inference schemes. This work provides a metric for comparing the relative merit of the decision tree and decision graph formalisms for a particular domain. 1 Introduction In this paper, we examine the problem of inferring a ...
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