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2000 | OriginalPaper | Chapter

An MLE strategy for combining optimally pruned decision trees

Authors : Carmela Cappelli, William D. Shannon

Published in: COMPSTAT

Publisher: Physica-Verlag HD

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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.

Metadata
Title
An MLE strategy for combining optimally pruned decision trees
Authors
Carmela Cappelli
William D. Shannon
Copyright Year
2000
Publisher
Physica-Verlag HD
DOI
https://doi.org/10.1007/978-3-642-57678-2_26