Deep Extreme Mixture Model for Time Series Forecasting

Autor: Abilasha S, Sahely Bhadra, Ahmed Zaheer Dadarkar, Deepak P

Publikováno v: S, A, Bhadra, S, Dadarkar, A Z & P, D 2022, Deep extreme mixture model for time series forecasting . in 31st ACM International Conference on Information and Knowledge Management: Proceedings . Proceedings of the 31st ACM International Conference on Information & Knowledge Management, pp. 1726-1735, 31st ACM International Conference on Information and Knowledge Management, Atlanta, United States, 17/10/2022 . https://doi.org/10.1145/3511808.3557282

Time Series Forecasting (TSF) has been a topic of extensive research, which has many real world applications such as weather prediction, stock market value prediction, traffic control etc. Many machine learning models have been developed to address T

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::abef6b22d6b92ce9773f5b695b4d4ff7
https://doi.org/10.1145/3511808.3557282