Başlık için MF - Bildiri Koleksiyonu | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering listeleme
Toplam kayıt 113, listelenen: 64-83
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İngi̇li̇zce-Türkçe i̇stati̇sti̇ksel maki̇ne çevi̇ri̇si̇nde bi̇çi̇m bi̇li̇m kullanımı
(IEEE, 2012-04-18)Bu çalışmada, İngilizce-Türkçe dil ikilisi için biçimbilimsel çözümleme yardımı ile SIU dermecesi üzerinde istatistiksel makine çevirisi denemeleri yapılmıştır. Kelime biçimlerinin baz alındığı çeviri denemeleri İngilizce-Türkçe ... -
Kaotik kriptografinin çilesi
(IEEE, 2013-06-13)Son yirmi yıldır araştırılan bir konu olmasına rağmen, kaotik kriptografi ana akım kriptografi literatüründe yer almıyor. Bu makalede, bu ayrımın nedenleri üzerinde durulmuştur. -
Kural bazlı otomatik haber etiketleme
(IEEE, 2017-06-27)Bu çalışmada , genel ağ kaynaklarından haber toplayan ve topladığı bu haberleri otomatik olarak etiketleyen kural tabanlı bir uygulama yapılmıştır. Çalışmanın alt amacı hangi özelliklerin etiket belirleme işine daha uygun ... -
Malaria parasite detection with deep transfer learning
(IEEE, 2018-12-06)This study aims to automatically detect malaria parasites (Plasmodium sp) on images taken from Giemsa stained blood smears. Deep learning methods provide limited performance when sample size is low. In transfer learning, ... -
Microsoft Kinect Sensörü kullanarak zemin düzlemi algılama
(IEEE, 2013-06-13)Görüntü işleme tabanlı mobil robotların başarılı navigasyonu için zemin düzlemi algılama esastır. Bu bildiride Kinect derinlik sensöründen elde edilen derinlik bilgisine dayalı yeni ve gürbüz bir zemin düzlemi algılama ... -
Mixture of Gaussian models and bayes error under differential privacy
(2011)Gaussian mixture models are an important tool in Bayesian decision theory. In this study, we focus on building such models over statistical database protected under differential privacy. Our approach involves querying ... -
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 ... -
The modified proactive feedback based flow control scheme for best-effort applications
(International Institute of Informatics and Systemics (IIIS), 2007)High speed networks that are characterized by large bandwidth propagation delay products are expected to support applications with diverse traffic characteristics and Quality of Service (QoS) requirements. Thus, flow control ... -
MorAz: An open-source morphological analyzer for Azerbaijani Turkish
(Association for Computational Linguistics (ACL), 2018)MorAz is an open-source morphological analyzer for Azerbaijani Turkish. The analyzer is available through both as a website for interactive exploration and as a RESTful web service for integration into a natural language ... -
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 ... -
Multivariate statistical tests for comparing classification algorithms
(Springer, Berlin, Heidelberg, 2011)The misclassification error which is usually used in tests to compare classification algorithms, does not make a distinction between the sources of error, namely, false positives and false negatives. Instead of summing ... -
Müşterilerin GSP analizi kullanarak kümelenmesi
(Institute of Electrical and Electronics Engineers Inc., 2018-07-05)Bu çalışma ile mevcut misafir ve rezervasyon verisi kullanılarak doğal öbeklenmeleri tespit ederek misafir davranışları tespit ettik. Ayrıca verilen hizmetleri ve satış stratejilerini bu davranışlara göre özelleştirdik. ... -
A new approach for named entity recognition
(IEEE, 2017)Many sentences create certain impressions on people. These impressions help the reader to have an insight about the sentence via some entities. In NLP, this process corresponds to Named Entity Recognition (NER). NLP ... -
A novel approach to morphological disambiguation for Turkish
(Springer-Verlag, 2012)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 ... -
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 ... -
Numerical integration methods for simulation of mass-spring-damper systems
(Springer-Verlag, 2012)The dynamics of a face are often implemented as a system of connected particles with various forces acting upon them. Animation of such a system requires the approximation of velocity and position of each particle through ... -
Odaklanan nöron
(IEEE, 2017-06-27)Geleneksel yapay sinir ağında topoloji eğitim sırasında değişebilecek esnekliğe sahip değildir. Ağda her bir nöron ve bağımsız bağlantı katsayıları çözüm işlevinin bir parçasıdır. Bu bildiride önerdiğimiz odaklanabilir ... -
On building the largest and cross-linguistic Turkish dependency corpus
(Institute of Electrical and Electronics Engineers Inc., 2020-10-15)In this paper, we aim to introduce the dependency annotation process of the largest and the only cross-linguistic Turkish dependency treebank which was translated from the original Penn Treebank corpus. Within the scope ... -
On the VC-dimension of univariate decision trees
(2012)In this paper, we give and prove lower bounds of the VC-dimension of the univariate decision tree hypothesis class. The VC-dimension of the univariate decision tree depends on the VC-dimension values of its subtrees and ... -
An open, extendible, and fast Turkish morphological analyzer
(Incoma Ltd, 2019-09)In this paper, we present a two-level morphological analyzer for Turkish which consists of five main components: finite state transducer, rule engine for suffixation, lexicon, trie data structure, and LRU cache. We use ...
