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A Data-Driven Supervised Machine Learning Approach to Estimating Global Ambient Air Pollution Concentrations With Associated Prediction Intervals.
Liam J. Berrisford
Hugo Barbosa
Ronaldo Menezes
Published in:
CoRR (2024)
Keyphrases
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air pollution
supervised machine learning
data driven
air quality
prediction intervals
manually annotated
supervised learning
regression model
active learning
travel time
confidence level
data mining
high quality
relation extraction
linear regression model