Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Application and Analysis of Time Series Prediction Efficient Methods Based on the Krichevsky Predictor. / Малышева, Анастасия Дмитриевна; Ракитский, Антон Андреевич.
SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. стр. 983-986 8958150 (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
}
TY - GEN
T1 - Application and Analysis of Time Series Prediction Efficient Methods Based on the Krichevsky Predictor
AU - Малышева, Анастасия Дмитриевна
AU - Ракитский, Антон Андреевич
PY - 2019/10
Y1 - 2019/10
N2 - 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.
AB - 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.
KW - complexity
KW - information theory
KW - machine learning
KW - prediction
KW - time series
UR - http://www.scopus.com/inward/record.url?scp=85079032687&partnerID=8YFLogxK
UR - https://elibrary.ru/item.asp?id=43236724
U2 - 10.1109/SIBIRCON48586.2019.8958150
DO - 10.1109/SIBIRCON48586.2019.8958150
M3 - Conference contribution
AN - SCOPUS:85079032687
SN - 978-1-7281-4402-3
T3 - SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings
SP - 983
EP - 986
BT - SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019
Y2 - 21 October 2019 through 27 October 2019
ER -
ID: 23078527