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TempShap: When and How Much a Feature Matters in Time-Series Forecasting

arXiv:2610.33330v1 Announce Type: new Abstract: Attribution for a time-series forecaster should answer two questions that a feature-level scalar cannot: when in the input window a feature acts, and how much its influence changes across the forecast horizon. Most existing Shapley explainers treat eac

arXiv cs.AIDienstag 05:00 · 27.10.1 Min. Lesezeit

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Quelle: arXiv cs.AI (arXiv cs.AI). Original öffnen