Now showing items 1-6 of 6
Univariate decision tree induction using maximum margin classification
(OXFORD UNIV PRESS, 2012-03)
In many pattern recognition applications, first decision trees are used due to their simplicity and easily interpretable nature. In this paper, we propose a new decision tree learning algorithm called univariate margin ...
Design and analysis of classifier learning experiments in bioinformatics: survey and case studies
(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 ...
Eigenclassifiers for combining correlated classifiers
(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 ...
Cost-conscious comparison of supervised learning algorithms over multiple data sets
(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 ...
Searching for the Optimal Ordering of Classes in Rule Induction
Rule induction algorithms such as Ripper, solve a K > 2 class problem by converting it into a sequence of K - 1 two-class problems. As a usual heuristic, the classes are fed into the algorithm in the order of increasing ...
İngi̇li̇zce-Türkçe i̇stati̇sti̇ksel maki̇ne çevi̇ri̇si̇nde bi̇çi̇m bi̇li̇m kullanımı
In this study, statistical machine translation approaches for English-Turkish language couple are offered using morphological analysis in order to achieve different sub-lexical representations on SIU corpus. For language ...