Instance selection plays a pivotal role in enhancing machine learning by identifying and retaining those data instances that are most informative for the learning process, while discarding redundant ...

A new variable selection method for use in chemometrics applications has recently been proposed by a team of researchers from the Hefei Institutes of Physical Science of the Chinese Academy of ...

It is a significant and challenging task to detect the informative features to carry out explainable analysis and build an interpretable AI system for high dimensional data, especially for those with ...