Traditional machine learning algorithms for classification tasks operate under the assumption of balanced class distributions. However, this assumption only holds in some practical scenarios. In most ...

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, ...

Purpose: To design an artificial intelligence (AI) algorithm based on the Lens Opacities Classification System III (LOCS III) to realize automatic diagnosis of cataracts and classification of its.

President Trump penned an executive order Thursday to form a new classification of noncareer federal employees who will be hired to “help faithfully implement the President’s policy agenda.” The ...

To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space can be ...

Multiview Enhanced Characteristics (Mecha) is a new feature-based TSC algorithm. Mecha consists of three components. In the diverse feature extractor, the global and local patterns are enhanced via ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...

Abstract: This study delves into the implementation and evaluation of the k-nearest neighbor (k-NN) algorithm, a widely used method in machine learning for classification tasks. This research examines ...