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  7. Recognition on Finite Set of Events: Bayesian Analysis of Generalization Ability and Classification Tree Pruning

Recognition on Finite Set of Events: Bayesian Analysis of Generalization Ability and Classification Tree Pruning

Authors: Berikov, Vladimir
Issue Date: 2006
ISSN: 1313-0463
URI: http://hdl.handle.net/10525/758 Copy to clipboard
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.
Language: en
Publisher: Institute of Information Theories and Applications FOI ITHEASubject: Classifier Generalization AbilityBayesian LearningClassification Tree Pruning
Type: Article