Başlık için Makale Koleksiyonu listeleme
Toplam kayıt 100, listelenen: 41-60
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An improved global feature selection scheme for text classification
(Pergamon-Elsevier Science LTD, 2016)Feature selection is known as a good solution to the high dimensionality of the feature space and mostly preferred feature selection methods for text classification are filter-based ones. In a common filter-based feature ... -
An improved privacy-preserving DWT-based collaborative filtering scheme
(Pergamon-Elsevier Science LTD, 2012)Collaborative filtering (CF) is one of the most efficient techniques to produce personalized recommendations and to deal with the information overload of modern times. Although CF techniques have immensely useful filtering ... -
Improving Accuracy of Multi-Criteria Collaborative Filtering By Normalizing User Ratings
(2017)Multi-criteria collaborative filtering schemes allow modeling user preferences in a more detailed manner by collecting ratings on various aspects of a product or service. Although preferences are expressed by numerical ... -
An intelligent control of chaos in lorenz system, with a dynamic wavelet network
(2004)This paper proposes a dynamic wavelet network based intelligent adaptive controller design to regulate the chaotic states of the Lorenz equations. The "Dynamic Wavelet Network (OWN)" has lag dynamics, non-orthogonal mother ... -
A Low-Computational Approach on Gaze Estimation With Eye Touch System
(IEEE-Inst Electrical Electronics Engineers Inc, 2014)Among various approaches to eye tracking systems, light-reflection based systems with non-imaging sensors, e.g., photodiodes or phototransistors, are known to have relatively low complexity; yet, they provide moderately ... -
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 ...