A support vector machine for model selection in demand forecasting applications

Author:

Villegas Marco A.,Pedregal Diego J.,Trapero Juan R.

Funder

European Regional Development Fund

Spanish Government

Vicerrectorado de Investigación y Política Científica

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference38 articles.

1. Automatic identification of time series features for rule-based forecasting;Adya;International Journal of Forecasting,2001

2. Distributions of forecasting errors of forecast combinations: Implications for inventory management;Barrow;International Journal of Production Economics,2016

3. Exponential smoothing model selection for forecasting;Billah;International Journal of Forecasting,2006

4. A comparison of pca, kpca and ica for dimensionality reduction in support vector machine;Cao;Neurocomputing,2003

5. Combining forecasts: A review and annotated bibliography;Clemen;International Journal of Forecasting,1989

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