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; W. D., Shannon. - STAMPA. - (2000), pp. 235-240. ( COMPSTAT 2000 utrecht 21-25 agosto).
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.File in questo prodotto:
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