A University student developed a machine-learning model to identify factors associated with cancer outcomes across the globe, ...
Tech Xplore on MSN
Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
Researchers have developed a machine learning model capable of predicting whether a patient with depression will respond to ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty.
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