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Tree Ensembles on the induced discrete space
(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 ...
A novel kernel to predict software defectiveness
(Elsevier Science Inc, 2016-09)
Although the software defect prediction problem has been researched for a long time, the results achieved are not so bright. In this paper, we propose to use novel kernels for defect prediction that are based on the ...
Ses haritası: Bir çevresel gürültü izleme algılayıcı ağı
(IEEE, 2016-06-20)
Çalıştığımız ortamlardaki çevresel gürültünün seviyesi psikolojik ve fiziksel sağlığımız ve iş verimliliği açısından kritik önem taşımaktadır. Bu nedenle çevresel gürültüyü gözlemleyen sistemlere ihtiyaç duyulmaktadır. Bu ...
Constructing a Turkish constituency parse treeBank
(Springer Verlag, 2016)
In this paper, we describe our initial efforts for creating a Turkish constituency parse treebank by utilizing the English Penn Treebank. We employ a semiautomated approach for annotation. In our previouswork [18], the ...
Etkileşimli öğrenme ile akciğer tomografi hacim taramalarında nodül tespiti
(Institute of Electrical and Electronics Engineers Inc., 2016-06-20)
Bu bildiride akciğer BT taramalarında otomatik nodül tespiti yapmak üzere geliştirdigimiz yeni ve özgün bir yöntem sunulmaktadır. Önerdiğimiz yöntem, akciğer organına ve belirli bir nodül tipine bağlı kalmaksızın ...
Incremental construction of rule ensembles using classifiers produced by different class orderings
(IEEE, 2016)
In this paper, we discuss a novel approach to incrementally construct a rule ensemble. The approach constructs an ensemble from a dynamically generated set of rule classifiers. Each classifier in this set is trained by ...
Bagging soft decision trees
(Springer Verlag, 2016)
The decision tree is one of the earliest predictive models in machine learning. In the soft decision tree, based on the hierarchical mixture of experts model, internal binary nodes take soft decisions and choose both ...
English-Turkish parallel treebank with morphological annotations and its use in tree-based SMT
(SciTePress, 2016)
In this paper, we report our tree based statistical translation study from English to Turkish. We describe our data generation process and report the initial results of tree-based translation under a simple model. For ...
A model to describe hybrid conflict environments
(Dime University of Genoa, 2016)
This article focuses on the definition, implementation and testing of a model to describe Hybrid Conflict Environments. Without the need of citing specific cases or countries, it is clear that hybrid strategy and warfare ...