Development of new cost-sensitive Bayesian network learning algorithms
Bayesian networks are becoming an increasingly important area for research and have been proposed for real world applications such as medical diagnoses, image recognition, and fraud detection. In all of these applications, accuracy is not sufficient alone, as there are costs involved when errors occ...
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University of Salford
2016
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Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.680493 |