Effective estimation of posterior probabilities: explaining the accuracy of randomized decision tree approaches

Abstract

There has been increasing number of independently proposed randomization methods in different stages of decision tree construction to build multiple trees. Randomized decision tree methods have been reported to be significantly more accurate than widely-accepted single decision trees, although the training procedure of some methods incorporates a… (More)
DOI: 10.1109/ICDM.2005.54

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@article{Fan2005EffectiveEO, title={Effective estimation of posterior probabilities: explaining the accuracy of randomized decision tree approaches}, author={Wei Fan and Ed Greengrass and Joe McCloskey and Philip S. Yu and Kevin Drummey}, journal={Fifth IEEE International Conference on Data Mining (ICDM'05)}, year={2005}, pages={8 pp.-} }