Toplam kayıt 4, listelenen: 1-4
Unsupervised morphological analysis using tries
(Springer London, 2011-09-28)
This article presents an unsupervised morphological analysis algorithm to segment words into roots and affixes. The algorithm relies on word occurrences in a given dataset. Target languages are English, Finnish, and Turkish, ...
A novel approach to morphological disambiguation for Turkish
In this paper, we propose a classification based approach to the morphological disambiguation for Turkish language. Due to complex morphology in Turkish, any word can get unlimited number of affixes resulting very large ...
Model selection in omnivariate decision trees using Structural Risk Minimization
(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 ...
Mapping classifiers and datasets
(PERGAMON-ELSEVIER SCIENCE LTD, 2011-04)
Given the posterior probability estimates of 14 classifiers on 38 datasets, we plot two-dimensional maps of classifiers and datasets using principal component analysis (PCA) and Isomap. The similarity between classifiers ...