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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 ...
An incremental piecewise linear classifier based on polyhedral conic separation
(Springer, 2015)
In this paper, a piecewise linear classifier based on polyhedral conic separation is developed. This classifier builds nonlinear boundaries between classes using polyhedral conic functions. Since the number of polyhedral ...
A comprehensive insight into the Six Sigma DMAIC toolbox
(Emerald Group Publishing LTD, 2016)
Purpose - As opposed to general literature reviews, by narrowing down the context only around the resources related to Six Sigma tools, this study aims to offer a strong discussion about Six Sigma toolbox which has a vital ...
Clustering Based Polyhedral Conic Functions Algorithm in Classification
(Amer Inst Mathematical Sciences-Aims, 2015)
In this study, a new algorithm based on polyhedral conic functions (PCFs) is developed to solve multi-class supervised data classification problems. The k PCFs are constructed for each class in order to separate it from ...