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Toplam kayıt 109, listelenen: 61-70
A multilayer annotated corpus for Turkish
(IEEE, 2018-06-06)
In this paper, we present the first multilayer annotated corpus for Turkish, which is a low-resourced agglutinative language. Our dataset consists of 9,600 sentences translated from the Penn Treebank Corpus. Annotated ...
Elektronik bateri oyunu için somut bir kullanıcı arayüzü
(IEEE, 2017-06-27)
Teknolojinin kullanımının yaygınlaşması ile beraber son zamanlarda insan-bilgisayar ilişkisi üzerine bir çok çalışma yapılmaktadır. Bilgisayar sistemlerinin insan eğitiminin üzerindeki etkisi ile ilgili yapılan çalışmalar ...
İlişkisel veri tabanlarında mükerrer kayıtların makine ö?renmesiyle tespiti
(Institute of Electrical and Electronics Engineers Inc., 2018-07-05)
Veri miktarının artışına paralel olarak, ilişkisel veri tabanlarında mükerrer kayıtlar da artmaktadır. Artan bu kayıtlar kullanıldıkları rapor veya analizlerde tutarsızlığa sebep olabilmektedir. Bu sorunu en aza indirgemek ...
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 ...
Efficient privacy-aware record integration
(2013)
The integration of information dispersed among multiple repositories is a crucial step for accurate data analysis in various domains. In support of this goal, it is critical to devise procedures for identifying similar ...
A novel regression method for software defect prediction with kernel methods
(2013)
In this paper, we propose a novel method based on SVM to predict the number of defects in the files or classes of a software system. To model the relationship between source code similarity and defectiveness, we use SVM ...
Feature extraction from discrete attributes
(IEEE, 2010)
In many pattern recognition applications, first decision trees are used due to their simplicity and easily interpretable nature. In this paper, we extract new features by combining k discrete attributes, where for each ...
Univariate margin tree
(Springer, 2010)
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 ...
E-learning and microformats: A learning object harvesting model and a sample application
(2008)
In order to support interoperability of learning tools and reusability of resources, this paper introduces a framework for harvesting learning objects from web-based content. Therefore, commonly-known web technologies are ...
SPD (Static Priority with Deadline considerations) packet scheduling algorithm for achieving better QoS
(IEEE, 2007)
Providing quality of service (QoS) to applications with different traffic characteristics based on their needs is an important research area for today's and tomorrow's high speed networks. Various techniques have been ...