2000 | OriginalPaper | Buchkapitel
An MLE strategy for combining optimally pruned decision trees
verfasst von : Carmela Cappelli, William D. Shannon
Erschienen in: COMPSTAT
Verlag: Physica-Verlag HD
Enthalten in: Professional Book Archive
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This paper provides a maximum likelihood estimation strategy to identify a tree-based model which, being a function of a set of observed optimally pruned trees, represents the final classification model. The strategy is based on a probability distribution and it uses a metric based on structural differences among trees. An example on a real dataset is also presented to show how the procedure works.