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, ...

We then select the next smallest element in the array, which is 3. 3 is already in the correct position, so we don't need to swap it. We then select the next smallest element in the array, which is 4.

ABSTRACT: In a competitive digital age where data volumes are increasing with time, the ability to extract meaningful knowledge from high-dimensional data using machine learning (ML) and data mining ...

Abstract: The main idea of Optimized Selection Sort Algorithm (OSSA) is based on the already existing selection sort algorithm, with a difference that old selection sort; sorts one element either ...