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 nal classication model. The strategy is based on a probability distribution and it uses a metric based on structural dierences among trees. An example on a real dataset is also presented to show how the procedure works.

An MLE strategy for combining optimally pruned decision trees

CAPPELLI, CARMELA;
2000

Abstract

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 nal classication model. The strategy is based on a probability distribution and it uses a metric based on structural dierences among trees. An example on a real dataset is also presented to show how the procedure works.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/513444
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