High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

The original version of this story appeared in Quanta Magazine. Computer scientists often deal with abstract problems that are hard to comprehend, but an exciting new algorithm matters to anyone who ...

The library sorting problem is used across computer science for organizing far more than just books. A new solution is less than a page-width away from the theoretical ideal. Computer scientists often ...

Abstract: In this paper, we propose two new ranking indexes for solution set in many-objective optimization evolutionary algorithms. A non-dominated ranking allows selection pressure to perform ...

This week I interviewed Senator Amy Klobuchar, Democrat of Minnesota, about her Preventing Algorithmic Collusion Act. If you don’t know what algorithmic collusion is, it’s time to get educated, ...

Abstract: Selection sorting is a common sorting method, which is more efficient because it exchanges data less times than bubble sorting. Selection sorting is an unstable sorting algorithm. It works ...

Add a description, image, and links to the selection-sort-algorithm topic page so that developers can more easily learn about it.