Forecasting Uncertainty in Machine Learning Models
Provided are systems and methods for generating a score for any model which can be updated online, regardless of model type architecture and parameters, leveraging relations between regret and uncertainty.
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| Format: | Patent |
| Sprache: | eng |
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| Online-Zugang: | Volltext bestellen |
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| Zusammenfassung: | Provided are systems and methods for generating a score for any model which can be updated online, regardless of model type architecture and parameters, leveraging relations between regret and uncertainty. |
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