Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Reference41 articles.
1. Arlot, S., Celisse, A., et al. (2010). A survey of cross-validation procedures for model selection. Statistics Surveys, 4, 40–79.
2. Benavoli, A., Corani, G., Demšar, J., & Zaffalon, M. (2017). Time for a change: A tutorial for comparing multiple classifiers through bayesian analysis. The Journal of Machine Learning Research, 18(1), 2653–2688.
3. Bergmeir, C., & Benitez, J.M. (2011) Forecaster performance evaluation with cross-validation and variants. In: 2011 11th international conference on intelligent systems design and applications (ISDA), pp. 849–854. IEEE.
4. Bergmeir, C., & Benítez, J. M. (2012). On the use of cross-validation for time series predictor evaluation. Information Sciences, 191, 192–213.
5. Bergmeir, C., Costantini, M., & Benítez, J. M. (2014). On the usefulness of cross-validation for directional forecast evaluation. Computational Statistics & Data Analysis, 76, 132–143.
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