Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
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Quantum machine learning nears practicality as partial error correction reduces hardware demands
Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from ...
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Machine learning reveals dental caries heterogeneity in NHANES
A new article published in the Journal of Dental Research explores the development an integrated data-cleaning and subtype ...
The field of kidney transplantation is increasingly incorporating machine learning (ML) strategies to enhance the accuracy of survival predictions, thus, transforming patient outcomes in significant ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing. Dust and rock collected from the asteroid Bennu ...
Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...
Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
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