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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 Hybrid Genetic Algorithm For the Quadratic Assignment Problem on Graphics Processing Units
(2016)
Bu çalışmada karesel atama probleminin çözümü için melez bir genetik algoritma önerilmiştir. Önerilen algoritmanın en zaman alıcı bölümleri amaç fonksiyonun hesaplanması ve yerel arama operatörüdür. Bu nedenle algoritmanın ...
A novel piecewise linear classifier based on polyhedral conic and max-min separabilities
(Springer, 2013)
In this paper, an algorithm for finding piecewise linear boundaries between pattern classes is developed. This algorithm consists of two main stages. In the first stage, a polyhedral conic set is used to identify data ...
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 ...