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 ...

Branch-and-Bound represents a cornerstone methodology for solving discrete optimisation problems by systematically exploring a search tree of candidate solutions. Each node in the tree corresponds to ...

Machine learning (ML) could have advantages over traditional statistical models in identifying risk factors. Using ML algorithms, our objective was to identify the most important variables associated ...