C4.5: programs for machine learning
C4.5: programs for machine learning
A Comparative Analysis of Methods for Pruning Decision Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence
The influence of prior knowledge on the expected performance of a classifier
Pattern Recognition Letters
Estimation of Dependences Based on Empirical Data: Springer Series in Statistics (Springer Series in Statistics)
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In the paper, we consider the Bayesian model of recognition on a finite set of events. The model is not oriented on the most "unfavorable" distribution and on the asymptotic case. We consider the questions of the model applicability in problems of decision tree construction and rare events recognition.