How Good Can Linear Models Be for Time-Series Forecasting?
Research demonstrates that preprocessing optimizations, particularly in context length, normalization, and regularization, can significantly improve time-series forecasting accurac…
Hugging Face · Daily Papers
·Lang Huang, Jinglue Xu
·
·▲ 1 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Lang Huang, Jinglue Xu, Luke Darlow
- 1 upvotes da comunidade
- Temas: time-series forecasting, transformers, foundation models, Ridge regression, context length, local normalization
Resumo
Resumo original (em inglês), extraído do paper:
Research demonstrates that preprocessing optimizations, particularly in context length, normalization, and regularization, can significantly improve time-series forecasting accuracy more effectively than scaling model architectures.Onde ler
// relacionados