Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting

Data-driven forecasts of air quality have recently achieved more accurate short-term predictions. However, despite their success, most of the current data-driven solutions lack proper quantifications of model uncertainty that communicate how much to trust the forecasts. Recently, several practical t...

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Prif Awduron:	Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor
Fformat:	Artigo
Iaith:	Inglês
Cyhoeddwyd:	MDPI AG 2021-11-01
Cyfres:	Sensors
Pynciau:	air quality probabilistic deep learning epistemic uncertainty aleatoric uncertainty
Mynediad Ar-lein:	https://www.mdpi.com/1424-8220/21/23/8009
Tagiau:	Ychwanegu Tag Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!