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Max Margin Polyhedral Conic Function Classifier
(IEEE, 2016)
In classification problems, generalization ability has a key role for successful prediction. Well known Support Vector Machine classifier, tries to increase generalization ability via maximizing the margin, which is the ...
Arrhythmia Classification via k-Means based Polyhedral Conic Functions Algorithm
(IEEE, 2016)
Heart disease is one of the important cause of death. In this study, we used ECG data obtained from MIT-BIH database to classify arrhythmias. We select 5 classes; normal beat (N), right bundle branch block (RBBB), left ...