A framework for benchmarking machine learning methods using linear models for univariate time series prediction - researchr publication authors

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Rebecca Salles, Laura Assis, Gustavo Paiva Guedes, Eduardo Bezerra, Fábio Porto, Eduardo S. Ogasawara. A framework for benchmarking machine learning methods using linear models for univariate time series prediction. In 2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, AK, USA, May 14-19, 2017. pages 2338-2345, IEEE, 2017. [doi]

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