A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...
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 ...
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 ...
Overview: Machine learning failures usually start before modeling, with poor data understanding and preparation.Clean data, ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...
Balance training patients may soon be able to get AI feedback during home exercises, with four wearable sensors and a new ...
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