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, ...

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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 ...

ABSTRACT: Background: Chronic pain management presents significant challenges in clinical practice, particularly in selecting pharmacological treatments that balance efficacy and safety. GABAergic and ...

From [Wikipedia][bubble-wiki]: Bubble sort, sometimes referred to as sinking sort, is a simple sorting algorithm that repeatedly steps through the list to be sorted, compares each pair of adjacent ...

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 ...

Introduction: One of the key problems occurring in neuroinformatics today is the ability to properly extract and sort different spike trains from extracellular recordings. Whilst the spike detection ...