Başlık için Makale Koleksiyonu listeleme
Toplam kayıt 100, listelenen: 46-65
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Maskelenmiş Veriler için Kümeleme-Tabanlı Şilin Atak Tespit Yöntemi
(2016)İnternet'in yaygınlaşması ile beraber hem ortak filtreleme hem de mahremiyetin korunması artan ilgi görmektedir. Mahremiyeti koruyarak doğru önerileri hızlı bir şekilde kullanıcıya sunmak üzere mahremiyettabanlı ortak ... -
Modeling and prediction with a class of time delay dynamic neural networks
(Elsevier Science BV, 2007)In this paper, we propose a time delay dynamic neural network (TDDNN) to track and predict a chaotic time series systems. The application of artificial neural networks to dynamical systems has been constrained by the ... -
Modified descend curvature based fixed form fuzzy optimal control of nonlinear dynamical systems
(Pergamon-Elsevier Science LTD, 2006)In this study, a fuzzy rule-based optimal controller is designed for nonlinear dynamical systems. The direct second order method (or direct-descend-curvature algorithm) with a modification called "modified descend controller ... -
A Multi-Criteria Decision Strategy to Select a Machine Learning Method for Indoor Positioning System
(World Scientific Publ Co Pte LTD, 2018)Indoor positioning system is an active research area. There are various performance metrics such as accuracy, computation time, precision, and f-score in machine learning based indoor positioning systems. The aim of this ... -
A Multi-Criteria Heuristic Algorithm For Personalized
(2016)This paper proposes a heuristic function for multi-criteria route planning problems. The Analytical Hierarchy Process (AHP) is used for the multi-criteria aggregation process both for actual and heuristic cost functions. ... -
Multi-Link Support For Ipv6 Networks
(2016)IPv6 ağ konfigürasyonu için genel pratik ağ üzerindeki her fiziksel bağ için ayrı bir altağ öneki atamaktır. Bu uygulama hem birden fazla ağ öneki gereksimine sebep olur, hem de elle yönetim ve konfigürasyon gerektirir. ... -
A new classification method based on rough sets theory
(Springer, 2018)Discovering the common attributes of an object is an important problem in classification. The rough sets theory (RST) successfully reveals the relationship between an object, its attributes and classes and helps bring a ... -
A new hybrid recommendation algorithm with privacy
(Wiley-Blackwell, 2012)Providing accurate and dependable recommendations efficiently while preserving privacy is essential for e-commerce sites to recruit new customers and keep the existing ones. Such sites might be able to increase their sales ... -
A novel probabilistic feature selection method for text classification
(Elsevier Science BV, 2012)High dimensionality of the feature space is one of the most important concerns in text classification problems due to processing time and accuracy considerations. Selection of distinctive features is therefore essential ... -
Olasılıksal Kaba Kümeler Teorisi Yaklaşımı İle Ekg Verilerinin Sınıflandırılması
(2016)Sınıflandırma, bilgisayar mühendisliğinde bir veri kümesinin, uzmanlar yerine bilgisayarlar tarafından, özellikleri aracılığı ile gruplanması işlemidir. Kaba kümeler teorisi son yıllarda sınıflandırma problemlerinde gerekli ... -
On circular traffic sign detection and recognition
(Pergamon-Elsevier Science LTD, 2016)Automatic traffic sign detection and recognition play crucial roles in several expert systems such as driver assistance and autonomous driving systems. In this work, novel approaches for circular traffic sign detection and ... -
On classification of abstracts obtained from medical journals
(SAGE Publications LTD, 2019)Classification of medical documents was mostly carried out on English data sets and these studies were performed on hospital records rather than academic texts. The main reasons behind this situation are the lack of publicly ... -
On constituent chunking for Turkish
(Elsevier Sci LTD, 2018)Chunking is a task which divides a sentence into non-recursive structures. The primary aim is to specify chunk boundaries and classes. Although chunking generally refers to simple chunks, it is possible to customize the ... -
On feature weighting and selection for medical document classification
(Springer Verlag, 2018)Medical document classification is still one of the popular research problems inside text classification domain. In this study, the impact of feature selection and feature weighting on medical document classification is ... -
On Two-Stage Feature Selection Methods for Text Classification
(IEEE-Inst Electrical Electronics Engineers Inc, 2018)Text classification is a high dimensional pattern recognition problem where feature selection is an important step. Although researchers still propose new feature selection methods, there exist many two-stage feature ... -
P2P collaborative filtering with privacy
(Tubitak Scientific & Technical Research Council Turkey, 2010)With the evolution of the Internet and e-commerce, collaborative filtering (CF) and privacy-preserving collaborative filtering (PPCF) have become popular The goal in CF is to generate predictions with decent accuracy, ... -
PEL: A Predictive Edge Linking algorithm
(Academic Press Inc Elsevier Science, 2016)We propose an edge linking algorithm that takes as input a binary edge map generated by a traditional edge detection algorithm and converts it to a set of edge segments; filling in one pixel gaps in the edge map, cleaning ... -
Phase portrait modeling of a nonlinear system with a dynamic fuzzy network
(Springer, 2005)Fuzzy logic and neural networks are two important technologies for modeling and control of dynamical systems and have been constrained by the non-dynamical nature of their some popular architectures. There exist problems ... -
Privacy-preserving hybrid collaborative filtering on cross distributed data
(Springer London LTD, 2012)Data collected for collaborative filtering (CF) purposes might be cross distributed between two online vendors, even competing companies. Such corporations might want to integrate their data to provide more precise and ... -
Privacy-Preserving Inverse Distance Weighted Interpolation
(Springer Heidelberg, 2014)Inverse distance weighted (IDW) interpolation is one of the well-known geo-statistics techniques. On the one hand, one party (server) holding some measurements for specific locations wants to provide predictions; on the ...