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 ...

We consider regression experiments involving a response varible Y and a large number of predictor variables X1,...,Xd, many of which may be irrelevant for the prediction of Y and thus must be removed ...

The DHR architecture breaks the pattern of staticity, similarity, and determinism of cyberspace security information systems through multiple heterogeneities in different spatial-temporal dimensions.