MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Nature’s annual list of technologies to watch is a chance to celebrate progress and stimulate research into both ...

Abstract: In data-driven fault diagnosis, feature selection not only reduces model complexity but also plays a pivotal role in improving prediction accuracy. Existing studies typically employ binary ...