Now showing items 1-7 of 7

  • Cost-conscious comparison of supervised learning algorithms over multiple data sets 

    Ulaş, Aydın; Yıldız, Olcay Taner; Alpaydın, Ahmet İbrahim Ethem (ELSEVIER SCI LTD, 2012-04)
    In the literature, there exist statistical tests to compare supervised learning algorithms on multiple data sets in terms of accuracy but they do not always generate an ordering. We propose Multi(2)Test, a generalization ...
  • Design and analysis of classifier learning experiments in bioinformatics: survey and case studies 

    İrsoy, Ozan; Yıldız, Olcay Taner; Alpaydın, Ahmet İbrahim Ethem (IEEE COMPUTER SOC, 2012-12)
    In many bioinformatics applications, it is important to assess and compare the performances of algorithms trained from data, to be able to draw conclusions unaffected by chance and are therefore significant. Both the design ...
  • Incremental construction of classifier and discriminant ensembles 

    Ulaş, Aydın; Semerci, Murat; Yıldız, Olcay Taner; Alpaydın, Ahmet İbrahim Ethem (ELSEVIER SCIENCE INC, 2009-04-15)
    We discuss approaches to incrementally construct an ensemble. The first constructs an ensemble of classifiers choosing a subset from a larger set, and the second constructs an ensemble of discriminants, where a classifier ...
  • Model selection in omnivariate decision trees using Structural Risk Minimization 

    Yıldız, Olcay Taner (ELSEVIER SCIENCE INC, 2011-12)
    As opposed to trees that use a single type of decision node, an omnivariate decision tree contains nodes of different types. We propose to use Structural Risk Minimization (SRM) to choose between node types in omnivariate ...
  • Robust localization and identification of African clawed frogs in digital images 

    Tek, Faik Boray; Cannavo, Flavio; Nunnari, Giuseppe; Kale, İzzet (ELSEVIER SCIENCE BV, 2014-10)
    We study the automatic localization and identification of African clawed frogs (Xenopus laevis sp.) in digital images taken in a laboratory environment. We propose a novel and stable frog body localization and skin pattern ...
  • Sınıflandırma için diferansiyel mahremiyete dayalı öznitelik seçimi 

    Var, Esra; İnan, Ali (Gazi Univ, Fac Engineering Architecture, 2018)
    Selecting a relevant subset of attributes is one of the most important data preprocessing steps of data mining and machine learning solutions. For the classification task, selection is based on the correlation between an ...
  • Tree Ensembles on the Induced Discrete Space 

    Yıldız, Olcay Taner (Institute of Electrical and Electronics Engineers Inc., 2016-05)
    Decision trees are widely used predictive models in machine learning. Recently, K-tree is proposed, where the original discrete feature space is expanded by generating all orderings of values of k discrete attributes and ...