Algebraic segmentation of short nonstationary time series based on evolutionary prediction algorithms

@article{Palivonaite2013AlgebraicSO,
  title={Algebraic segmentation of short nonstationary time series based on evolutionary prediction algorithms},
  author={Rita Palivonaite and Kristina Lukoseviciute and Minvydas Ragulskis},
  journal={Neurocomputing},
  year={2013},
  volume={121},
  pages={354-364}
}
Algebraic segmentation of short nonstationary time series is presented in this paper. The proposed algorithm is based on the algebraic one step-forward predictor which is used to identify a temporal nearoptimal algebraic model of the real-world time series. A combinatorial algorithm is used to identify intervals where prediction errors are lower than a predefined level of acceptable accuracy. Special individually determined for every time series. The nonparametric identification of… CONTINUE READING
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