Concepts de base
提案されたTILDE-Qは、時系列データの形状を考慮した予測を可能にする変換不変損失関数です。
Stats
3.25% 2.21%
4.48% 4.67%
7.02% 3.5%
Citations
"Time-series forecasting has been a core problem across various domains, including traffic domain, economy, and disease propagation analysis."
"In this work, we aim to design a novel objective function that guides models in improving forecasting performance by learning shapes in time-series data."
"Our study makes contributions in enhancing understanding of shape awareness and distortion invariances in time-series forecasting."