Now showing items 1-5 of 5

    • Comprehensive lower bounds on sequential prediction 

      Vanli, N.D.; Sayin, M.O.; Ergüt, S.; Kozat, S.S. (European Signal Processing Conference, EUSIPCO, 2014)
      We study the problem of sequential prediction of real-valued sequences under the squared error loss function. While refraining from any statistical and structural assumptions on the underlying sequence, we introduce a ...
    • Energy consumption forecasting via order preserving pattern matching 

      Vanli, N.D.; Sayin, M.O.; Yildiz H.; Goze, T.; Kozat, S.S. (Institute of Electrical and Electronics Engineers Inc., 2014)
      We study sequential prediction of energy consumption of actual users under a generic loss/utility function. Particularly, we try to determine whether the energy usage of the consumer will increase or decrease in the future, ...
    • Sequential prediction over hierarchical structures 

      Vanli, N. D.; Gokcesu, K.; Sayin, M. O.; Yildiz, H.; Kozat, S. S. (Institute of Electrical and Electronics Engineers Inc., 2016)
      We study sequential compound decision problems in the context of sequential prediction of real valued sequences. In particular, we consider finite state (FS) predictors that are constructed based on a hierarchical structure, ...
    • Sequential regression techniques with second order methods 

      Civek, Burak Cevat (Bilkent University, 2017-07)
      Sequential regression problem is one of the widely investigated topics in the machine learning and the signal processing literatures. In order to adequately model the underlying structure of the real life data sequences, ...
    • A unified approach to universal prediction: Generalized upper and lower bounds 

      Vanli, N. D.; Kozat, S. S. (Institute of Electrical and Electronics Engineers Inc., 2015)
      We study sequential prediction of real-valued, arbitrary, and unknown sequences under the squared error loss as well as the best parametric predictor out of a large, continuous class of predictors. Inspired by recent results ...