We develop a mixed-frequency, tree-based, gradient-boosting model designed to assess the default risk of privately held firms in real time. The model uses data from publicly-traded companies to ...
Researchers have combined machine learning with portable biosensors to accurately detect a dangerous cyanobacterial toxin ...
Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
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