Now showing items 1-20 of 51

    • Accurate simulation of reflector antennas by the complex source-dual series approach 

      Oğuzer, T.; Altıntaş, A.; Nosich, A. I. (Institute of Electrical and Electronics Engineers, 1995-08)
      The radiation from circular cylindrical reflector antennas is treated in an accurate manner for both polarizations. The problem is first formulated in terms of the dual series equations and then is regularized by the ...
    • Adaptive ensemble learning with confidence bounds for personalized diagnosis 

      Tekin, C.; Yoon, J.; Schaar, M. V. D. (AI Access Foundation, 2016)
      With the advances in the field of medical informatics, automated clinical decision support systems are becoming the de facto standard in personalized diagnosis. In order to establish high accuracy and confidence in ...
    • Adaptive Hierarchical Space Partitioning for Online Classification 

      Fatih Kilic, O.; Denizcan Vanli, N.; Ozkan, H.; Delibalta, I.; Kozat, S. S. (European Signal Processing Conference, EUSIPCO, 2016)
      We propose an online algorithm for supervised learning with strong performance guarantees under the empirical zero-one loss. The proposed method adaptively partitions the feature space in a hierarchical manner and generates ...
    • Alternate strategies for tutorial modules in intelligent tutoring systems 

      Cankat, E.; Güvenir, H. A. (Publ by ASME, New York, NY, United States, 1992)
      Intelligent Tutoring Systems (ITS) have now reached a structure in which the major components of an instructional system are separated in a way that provides both the system and the student with a flexibility within the ...
    • An analysis of manipulated information and respective alternative costs in information systems and in decision making structures 

      Güvenen O.; Öztürk, M.H. (International Institute of Informatics and Systemics, IIIS, 2006)
      Today Information Technologies create base for the most important decision support systems for the practices in academia, business and politics. The effectiveness and success of operations that are supported by information ...
    • Application of the RIMARC algorithm to a large data set of action potentials and clinical parameters for risk prediction of atrial fibrillation 

      Ravens, U.; Katircioglu-Öztürk, D.; Wettwer, E.; Christ, T.; Dobrev, D.; Voigt, N.; Poulet, C.; Loose, S.; Simon, J.; Stein, A.; Matschke, K.; Knaut, M.; Oto, E.; Oto, A.; Güvenir, H. A. (Springer, 2015)
      Ex vivo recorded action potentials (APs) in human right atrial tissue from patients in sinus rhythm (SR) or atrial fibrillation (AF) display a characteristic spike-and-dome or triangular shape, respectively, but variability ...
    • Assembly line balancing using genetic algorithms 

      Sabuncuoğlu İ.; Erel, E.; Tanyer, M. (Kluwer Academic Publishers, 2000)
      Assembly Line Balancing (ALB) is one of the important problems of production/operations management area. As small improvements in the performance of the system can lead to significant monetary consequences, it is of utmost ...
    • Big-data streaming applications scheduling based on staged multi-armed bandits 

      Kanoun, K.; Tekin, C.; Atienza, D.; Van Der Schaar, M. (Institute of Electrical and Electronics Engineers, 2016)
      Several techniques have been recently proposed to adapt Big-Data streaming applications to existing many core platforms. Among these techniques, online reinforcement learning methods have been proposed that learn how to ...
    • Boosted LMS-Based Piecewise Linear Adaptive Filters 

      Kari, D.; Marivani, I.; Delibalta, I.; Kozat, S.S. (European Signal Processing Conference, EUSIPCO, 2016)
      We introduce the boosting notion extensively used in different machine learning applications to adaptive signal processing literature and implement several different adaptive filtering algorithms. In this framework, we ...
    • Classification by voting feature intervals 

      Demiröz, G.; Güvenir, A. H. (Springer, 1997)
      A new classification algorithm called VFI (for Voting Feature Intervals) is proposed. A concept is represented by a set of feature intervals on each feature dimension separately. Each feature participates in the classification ...
    • A classification learning algorithm robust to irrelevant features 

      Güvenir, H. A. (Springer, 1998)
      Presence of irrelevant features is a fact of life in many realworld applications of classification learning. Although nearest-neighbor classification algorithms have emerged as a promising approach to machine learning tasks ...
    • Classification of regional ionospheric disturbance based on machine learning techniques 

      Terzi, M. B.; Arikan, O.; Karatay S.; Arikan, F.; Gulyaeva T. (European Space Agency, 2016)
      In this study, Total Electron Content (TEC) estimated from GPS receivers is used to model the regional and local variability that differs from global activity along with solar and geomagnetic indices. For the automated ...
    • Concave measures and the fuzzy core of exchange economies with heterogeneous divisible commodities 

      Hüsseinov, F.; Sagara, N. (Elsevier BV, 2012)
      The main purpose of this paper is to prove the existence of the fuzzy core of an exchange economy with a heterogeneous divisible commodity in which preferences of individuals are given by nonadditive utility functions ...
    • ConceptMap: mining noisy web data for concept learning 

      Golge, E.; Duygulu, P. (Springer Verlag, 2014)
      We attack the problem of learning concepts automatically from noisy Web image search results. The idea is based on discovering common characteristics shared among subsets of images by posing a method that is able to organise ...
    • A Contextualist Analysis of Insults 

      Berkovski, Y. S. (Springer Verlag, 2017)
      For a predicate expression F contained in a sentence S (‘x is F’) to count as an insult, it should be used in a situation having a number of contextual elements. There should be an audience to whom the utterance of S is ...
    • Çağrı merkezi metin madenciliği yaklaşımı 

      Yigit, I. O.; Ates, A. F.; Guvercin, M.; Ferhatosmanoglu, H.; Gedik, B. (Institute of Electrical and Electronics Engineers Inc., 2017)
      Günümüzde çağrı merkezlerindeki görüşme kayıtlarının sesten metne dönüştürülebilmesi görüşme kaydı metinleri üzerinde metin madenciliği yöntemlerinin uygulanmasını mümkün kılmaktadır. Bu çalışma kapsamında görüşme ...
    • Data imputation through the identification of local anomalies 

      Ozkan, H.; Pelvan, O. S.; Kozat, S. S. (Institute of Electrical and Electronics Engineers Inc., 2015)
      We introduce a comprehensive and statistical framework in a model free setting for a complete treatment of localized data corruptions due to severe noise sources, e.g., an occluder in the case of a visual recording. Within ...
    • Data-parallel web crawling models 

      Cambazoglu, B. B.; Turk, A.; Aykanat, C. (Springer, 2004)
      The need to quickly locate, gather, and store the vast amount of material in the Web necessitates parallel computing. In this paper, we propose two models, based on multi-constraint graph-partitioning, for efficient ...
    • Decision support for adopting SPLE with transit-PL 

      Kalender, M.E.; Tüzün, E.; Tekinerdogan, B. (2013)
      It is generally acknowledged that the decision to adopt a software product line engineering (SPLE) approach needs to be performed carefully due to the di• erent risks involved in taking such an important decision. To ...
    • Directionally selective fractional wavelet transform using a 2-d non-separable unbalanced lifting structure 

      Keskin F.; Çetin, A.E. (2012)
      In this paper, we extend the recently introduced concept of fractional wavelet transform to obtain directional subbands of an image. Fractional wavelet decomposition is based on two-channel unbalanced lifting structures ...