Now showing items 1-3 of 3

    • Adaptive hierarchical space partitioning for online classification 

      Kılıç, O. Fatih; Vanlı, N. D.; Özkan, H.; Delibalta, İ.; Kozat, Süleyman Serdar (IEEE, 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 ...
    • Mixture of set membership filters approach for big data signal processing 

      Kılıç, O. Fatih; Sayın, M. Ömer; Delibalta, İ.; Kozat, Süleyman Serdar (IEEE, 2016)
      In this work, we propose a new approach for mixture of adaptive filters based on set-membership filters (SMF) which is specifically designated for big data signal processing applications. By using this approach, we achieve ...
    • Online adaptive hierarchical space partitioning classifier 

      Kılıç, O. Fatih; Vanlı, N. D.; Özkan, Hüseyin; Delibalta, İ.; Kozat, Süleyman Serdar (IEEE, 2016)
      We introduce an on-line classification algorithm based on the hierarchical partitioning of the feature space which provides a powerful performance under the defined empirical loss. The algorithm adaptively partitions the ...