Autors: Koparanov, K. A., Georgiev, K. K., Shterev, V. A., Minkovska, D. V.
Title: Improving Predictions of Long Sequences by Hyperparameter Tuning
Keywords: forecasting; hyperparameter tuning; long sequences; neural n

Abstract: The problem of forecasting long sequences is important in many different domains. Proper selection of the hyperparameters when a machine learning approach is applied could make the difference between adequate and inadequate model. Several algorithms for automatic hyperparameters tuning were evaluated and compared with baseline selection. As a result, recommendations have been made. Some of the intuitive assumptions for the baseline model proved to be wrong.

References

    Issue

    International Scientific Conference on Computer Science, COMSCI, Proceedings, pp. 1-4, 2022, Bulgaria, IEEE, DOI 10.1109/COMSCI55378.2022.9912600

    Вид: пленарен доклад в международен форум, публикация в реферирано издание, индексирана в Scopus