Zobrazeno 1 - 10
of 74 388
pro vyhledávání: '"time-series model"'
Large models have shown unprecedented capabilities in natural language processing, image generation, and most recently, time series forecasting. This leads us to ask the question: treating market prices as a time series, can large models be used to p
Externí odkaz:
http://arxiv.org/abs/2412.09880
Autor:
Kaur, Hardeep, Rastelli, Riccardo
This work is motivated by an original dataset of reported mumps cases across nine regions of England, and focuses on the modeling of temporal dynamics and time-varying dependency patterns between the observed time series. The goal is to discover the
Externí odkaz:
http://arxiv.org/abs/2411.07749
Autor:
Cádiz-Leyton, Martina, Cabrera-Vives, Guillermo, Protopapas, Pavlos, Moreno-Cartagena, Daniel, Donoso-Oliva, Cristobal
In this work, we present a framework for estimating and evaluating uncertainty in deep-attention-based classifiers for light curves for variable stars. We implemented three techniques, Deep Ensembles (DEs), Monte Carlo Dropout (MCD) and Hierarchical
Externí odkaz:
http://arxiv.org/abs/2411.01363
Autor:
Chen, Xinying1 (AUTHOR) chenxy1979@163.com, Yang, Fengjiao2 (AUTHOR), Sun, Qianhan1 (AUTHOR), Yi, Weiguo1 (AUTHOR)
Publikováno v:
Scientific Reports. 11/14/2024, Vol. 12 Issue 1, p1-28. 28p.
Autor:
Liao, Wenlong, Porte-Agel, Fernando, Fang, Jiannong, Rehtanz, Christian, Wang, Shouxiang, Yang, Dechang, Yang, Zhe
Machine learning models have made significant progress in load forecasting, but their forecast accuracy is limited in cases where historical load data is scarce. Inspired by the outstanding performance of large language models (LLMs) in computer visi
Externí odkaz:
http://arxiv.org/abs/2404.04885
Autor:
Gao, Shanghua, Koker, Teddy, Queen, Owen, Hartvigsen, Thomas, Tsiligkaridis, Theodoros, Zitnik, Marinka
Although pre-trained transformers and reprogrammed text-based LLMs have shown strong performance on time series tasks, the best-performing architectures vary widely across tasks, with most models narrowly focused on specific areas, such as time serie
Externí odkaz:
http://arxiv.org/abs/2403.00131
Autor:
Vanpoucke, Kato1,2 (AUTHOR) kato.vanpoucke@inbo.be, Heremans, Stien1,2 (AUTHOR), Buls, Emily3 (AUTHOR), Somers, Ben2,4 (AUTHOR)
Publikováno v:
Remote Sensing. Dec2024, Vol. 16 Issue 24, p4620. 26p.
The industry is rich in cases when we are required to make forecasting for large amounts of time series at once. However, we might be in a situation where we can not afford to train a separate model for each of them. Such issue in time series modelin
Externí odkaz:
http://arxiv.org/abs/2403.02534
Autor:
Petrovay, Kristof1 (AUTHOR) k.petrovay@astro.elte.hu
Publikováno v:
Universe (2218-1997). Sep2024, Vol. 10 Issue 9, p364. 11p.
Autor:
Prieto-Romero, Ana María1 aprietor@unicartagena.edu.co, Chanchí-Golondrino, Gabriel Elías1 gchanchig@unicartagena.edu.co, Ospina-Alarcón, Manuel Alejandro1 mospinaa@unicartagena.edu.co
Publikováno v:
Revista de Investigación Desarrollo e Innovación. jul-dic2024, Vol. 14 Issue 2, p25-42. 18p.