Data partition and variable selection for time series prediction using wrappers

WJ Puma-Villanueva, EP dos Santos… - The 2006 IEEE …, 2006 - ieeexplore.ieee.org
The purpose of this paper is a comparative study of a non-exhaustive, though
representative, set of methodologies already available for the partition of the training dataset
in time series prediction, and also for variable selection under the wrapper paradigm. The
partition policy of the training dataset and the choice of a proper set of variables for the
regression vector are known to have a significant influence in the accuracy of the predictor,
no matter the choice of the prediction model. However, there has been no extensive search …

[引言][C] Data partition and variable selection for time series prediction using wrappers.

WJP Villanueva, EP dos Santos, FJ Von Zuben - IJCNN, 2006
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