It’s very tempting to use mathematical measurements like accuracy, area under the ROC curve, or logarithmic computations as the metric defining success in a machine learning model. But using these ...

Researchers are challenging a long-held assumption that there is a trade-off between accuracy and fairness when using machine learning to make public policy decisions. Carnegie Mellon University ...

As solar energy plays an increasing role in the global power supply, ensuring accurate forecasts of ... in Atmospheric Sciences explores how machine learning and statistical techniques can refine ...

Machine learning (ML ... "The R-C-D-F method's integration of ML and deep learning ensures reliable and accurate geological ...

Current approaches such as machine learning, deep learning, and sensor-based data collection produce promising findings but have limitations such as uneven diagnostic accuracy and overfitting.

This approach, however, lingering at a 50% accuracy rate, does not reliably predict if songs will become hits. Now, researchers in the US have used a comprehensive machine learning technique ...

UK researchers have turned to machine learning to provide doctors with a fast and accurate way of diagnosing heart attacks that has the potential to shorten the time needed to make a diagnosis and ...