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    • Twice-universal piecewise linear regression via infinite depth context trees 

      Vanlı, Nuri Denizcan; Sayın, Muhammed O.; Göze, T.; Kozat, Süleyman Selim (IEEE, 2015)
      We investigate the problem of sequential piecewise linear regression from a competitive framework. For an arbitrary and unknown data length n, we first introduce a method to partition the regressor space. Particularly, we ...