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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/758

Title: Recognition on Finite Set of Events: Bayesian Analysis of Generalization Ability and Classification Tree Pruning
Authors: Berikov, Vladimir
Keywords: Classifier Generalization Ability
Bayesian Learning
Classification Tree Pruning
Issue Date: 2006
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: The problem of recognition on finite set of events is considered. The generalization ability of classifiers for this problem is studied within the Bayesian approach. The method for non-uniform prior distribution specification on recognition tasks is suggested. It takes into account the assumed degree of intersection between classes. The results of the analysis are applied for pruning of classification trees.
URI: http://hdl.handle.net/10525/758
ISSN: 1313-0463
Appears in Collections:Volume 13 Number 3

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