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Different types of Bayesian networks may be used for supervised classification. We combine such approaches together with feature selection and discretization and we show that such combination gives rise to powerful classifiers. A large choice of data sets from the UCI machine learning repository are used in our experiments and an application to Epilepsy type prediction based on PET scan data confirms...
The Prediction of Customer Failure Modes in Hard Disk Drive (HDD) is proposed using Neural Networks Rank-Level Fusion applied on key parameters measured in the manufacturing process of a HDD. In our methods, Neural Networks, Discriminant Analysis, Bayesian Networks, Support Vector Machines are applied to classified data which was obtained from Principal Component Analysis. The output of the classifiers...
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