Feature selection is a critical pre-processing step in machine learning that seeks to identify a subset of input variables most relevant to predictive modelling. By reducing dimensionality, it ...

Researchers at Yazd University developed a binary version of the Puma Optimization Algorithm that achieved 91.53 percent ...

Researchers have encoded a machine learning feature-selection problem directly into the geometry and laser control of neutral-atom Rydberg arrays, achieving performance competitive with classical ...