Background Considering the clinical heterogeneity of the bipolar disorder, difficulties are
encountered in making the correct diagnosis. Although a number of common findings have …

In order to cope with classification problems involving large datasets, we propose a new
mathematical programming algorithm by extending the clustering based polyhedral conic …

In this study, we propose a new approach that can be used as a kernel-like function for
support vector machines (SVMs) in order to get nonlinear classification surfaces. We …

Classifiers overfit when the data dimensionality ratio to the number of samples is high in a
dataset. This problem makes a classification model unreliable. When the overfitting problem …

Land-type classification is an essential aspect of resource planning, and correctly classifying
a land type can play a crucial role in designing and executing efficient utilization of land …

In this study, for solving multi-group classification problems, a new two-stage hybrid
classification method based on regression analysis and mathematical programming has …

Bu çalışmada, çok gruplu sınıflandırma problemlerinin çözümü için regresyon analizi ve
matematiksel programlamaya dayalı iki aşamalı yeni bir hibrit sınıflandırma yöntemi …