| Инд. авторы: | Malysheva A., Rakitskiy A. |
| Заглавие: | Application and Analysis of Time Series Prediction Efficient Methods Based on the Krichevsky Predictor |
| Библ. ссылка: | Malysheva A., Rakitskiy A. Application and Analysis of Time Series Prediction Efficient Methods Based on the Krichevsky Predictor // Proceedings of 2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON (Novosibirsk, Russia, 21.10-22.10.2019). - 2019. - P.983-986. - ISBN: 978-1-5386-1595-9. |
| Внешние системы: | DOI: 10.1109/SIBIRCON48586.2019.8958150; РИНЦ: 43236724; SCOPUS: 2-s2.0-85079032687; |
| Реферат: | eng: In this paper we present the algorithm of calculation of the Krichevsky's predictor and R-measure based on it. This algorithm allows to compute the predictor in linear time. We present the description of the algorithm, some of its features and the results of its application. In addition, we present the results of comparative analysis of R-measure and other prediction methods application on real time series problems. © 2019 IEEE. |
| Ключевые слова: | Learning systems; Comparative analysis; complexity; R-measure; information theory; machine learning; Time series analysis; Time series prediction; Real time series; Prediction methods; Linear time; ITS applications; Time series; time series; prediction; Forecasting; complexity; Information theory; |
| Издано: | 2019 |
| Физ. характеристика: | с.983-986 |
| Конференция: | Название: 2019 International Multi-Conference on Engineering, Computer and Information Sciences Аббревиатура: SIBIRCON Город: Novosibirsk Страна: Russia Даты проведения: 2019-10-21 - 2019-10-22 |