Now showing items 1-5 of 5

    • Bağlam ağaçları ile ardışık doğrusal olmayan bağlanım 

      Vanlı, N. Denizcan; Kozat, Süleyman S. (IEEE, 2014-04)
      Bu bildiride, ardışık doğrusal olmayan bağlanım problemi incelenmiş ve bağlam ağaçları kullanarak etkili bir öğrenme algoritması sunulmuştur. Bu amaçla, bağlanım alanı parçalara ayrılmış ve oluşan bölgeler bağlam ağacı ile ...
    • Novelty detection using soft partitioning and hierarchical models 

      Ergen, Tolga; Gökçesu, Kaan; Şimşek, Mustafa; Kozat, Süleyman Serdar (IEEE, 2017)
      In this paper, we study novelty detection problem and introduce an online algorithm. The algorithm sequentially receives an observation, generates a decision and then updates its parameters. In the first step, to model the ...
    • Online classification via self-organizing space partitioning 

      Ozkan, H.; Vanli, N. D.; Kozat, S. S. (Institute of Electrical and Electronics Engineers Inc., 2016)
      The authors study online supervised learning under the empirical zero-one loss and introduce a novel classification algorithm with strong theoretical guarantees. The proposed method is a highly dynamical self-organizing ...
    • Piecewise nonlinear regression via decision adaptive trees 

      Vanlı, N. Denizcan; Sayın, Muhammed O.; Ergüt, S.; Kozat, Süleyman S. (IEEE, 2014-09)
      We investigate the problem of adaptive nonlinear regression and introduce tree based piecewise linear regression algorithms that are highly efficient and provide significantly improved performance with guaranteed upper ...
    • Profiler and compiler assisted adaptive I/O prefetching for shared storage caches 

      Son, S. W.; Kandemir, M.; Kolcu, I.; Muralidhara, S. P.; Öztürk, Öztürk; Karakoy, M. (ACM, 2008-10)
      I/O prefetching has been employed in the past as one of the mech- anisms to hide large disk latencies. However, I/O prefetching in parallel applications is problematic when multiple CPUs share the same set of disks due to ...