Now showing items 1-2 of 2

    • Boosted adaptive filters 

      Kari, Dariush (Bilkent University, 2017-07)
      We investigate boosted online regression and propose a novel family of regression algorithms with strong theoretical bounds. In addition, we implement several variants of the proposed generic algorithm. We specifically ...
    • Boosted adaptive filters 

      Kari, D.; Mirza, A. H.; Khan, F.; Ozkan, H.; Kozat, S. S. (Elsevier, 2018)
      We introduce the boosting notion of machine learning to the adaptive signal processing literature. In our framework, we have several adaptive filtering algorithms, i.e., the weak learners, that run in parallel on a common ...