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 generative AI boom has unleashed a torrent of new startups, each promising to disrupt industries with the power of artificial intelligence. Yet beneath the surface of this innovation wave, a ...

ABSTRACT: In the past decade, Internet Of Things (IOT) technology has become one of the fastest-growing and most widely used technologies and is rapidly becoming a basic feature of global civilization ...

Have you ever wondered how Java seamlessly combines its primitive data types with object-oriented programming? Enter wrapper classes, an important but often overlooked Java feature. These special ...

Abstract: With the advent of the big data era, we often deal with datasets containing a large number of redundant features, and in this context, dimensionality reduction of data becomes crucial. To ...

A research team from the Ningbo Institute of Materials Technology and Engineering of the Chinese Academy of Sciences has introduced a novel feature selection method by removing noise entropy within ...

The film details the struggle of a small community in the West Bank. "No Other Land" has won the best documentary feature film Oscar. The project tells the story of the West Bank's Masafer Yatta ...

ABSTRACT: In machine learning, selecting useful features and rejecting redundant features is the prerequisite for better modeling and prediction. In this paper, we first study representative feature ...