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 ...
    • Online boosting algorithm for regression with additive and multiplicative updates 

      Mirza, A. H. (Institute of Electrical and Electronics Engineers, 2018)
      In this paper, we propose a boosted regression algorithm in an online framework. We have a linear combination of the estimated output for each weak learner and weigh each of the estimated output differently by introducing ...