Traditional feature selection methods usually only consider a specific geometric structure of the original data, which cannot reveal the most essential underlying structure of the data. Apart from ...

The Greenville Chamber joins a Gates-funded national effort to improve education and workforce outcomes through regional data-sharing and collaboration.

In offline data-driven multiobjective optimization, no new data are available during the optimization process. Approximation models, also known as surrogates, are built using the provided offline data ...

A structured collection of Java programs, projects, and exercises covering object-oriented programming, data structures, and algorithmic problem solving. This repository is designed for learners, ...