Now showing items 1-5 of 5

    • Computer network intrusion detection using various classifiers and ensemble learning 

      Mirza, Ali H. (IEEE, 2018)
      In this paper, we execute anomaly detection over the computer networks using various machine learning algorithms. We then combine these algorithms to boost the overall performance. We implement three different types of ...
    • Çizge kesit yöntemi ile hiperspektral görüntülerde anomali tabanlı hedef tespiti 

      Batı, E.; Erdinç, Acar; Çeşmeci, D.; Çalışkan, A.; Koz, A.; Aksoy, Selim; Ertürk, S.; Alatan, A. A. (IEEE, 2015-05)
      Hiperspektral hedef tespiti için yürütülen çalışmalar genel olarak iki sınıfta degerlendirilebilir. İlk sınıf olan anomali tespit yöntemlerinde, hedefin görüntünün geri kalanından farklı oldugu bilgisi kullanılarak görüntü ...
    • An investigation of anomalies at Istanbul Stock Exchange: size and January effects 

      Bora, Zeynep Gül (Bilkent University, 1995)
      This study investigates January effect at Istanbul Stock Exchange in combination with size of firms which are traded for the period of 1988 - 1994, using monthly data. The study is based on the groupings of stocks in ten ...
    • An investigation of the leverage anomaly at Istanbul Securities Exchange 

      Akkaya, Celal (Bilkent University, 1995)
      This study investigates the presence of ‘leverage effect’ at Istanbul Securities Exchange for the period January 1990 - December 1993. Two leverage variables are used, the ratio of book equity to book assets, BE/A and the ...
    • Online learning under adverse settings 

      Özkan, Hüseyin (Bilkent University, 2015-05)
      We present novel solutions for contemporary real life applications that generate data at unforeseen rates in unpredictable forms including non-stationarity, corruptions, missing/mixed attributes and high dimensionality. ...