Now showing items 1-5 of 5

  • 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 ...
  • Eigenclassifiers for combining correlated classifiers 

    Ulaş, Aydın; Yıldız, Olcay Taner; Alpaydın, Ahmet İbrahim Ethem (ELSEVIER SCIENCE INC, 2012-03-15)
    In practice, classifiers in an ensemble are not independent. This paper is the continuation of our previous work on ensemble subset selection [A. Ulas, M. Semerci, O.T. Yildiz, E. Alpaydin, Incremental construction of ...
  • 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 ...
  • VC-Dimension of Univariate Decision Trees 

    Yıldız, Olcay Taner (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2015-02)
    In this paper, we give and prove the lower bounds of the Vapnik-Chervonenkis (VC)-dimension of the univariate decision tree hypothesis class. The VC-dimension of the univariate decision tree depends on the VC-dimension ...