Abstract: Data discretization plays a critical role in enhancing the performance of the naive Bayes classifier. Traditional data discretization methods often utilize a two-stage framework, where data ...

Data science is an evolving subject that demands ongoing learning. Books continue to be among the best methods of acquiring ...

In a rapidly evolving digital landscape, machine learning is at the forefront of computational advancements, revolutionizing industries from healthcare to finan ...

Los datos se relacionan con campañas de marketing directo (llamadas telefónicas) de una entidad bancaria portuguesa. El objetivo de la clasificación es predecir si el cliente suscribirá un depósito a ...

Abstract: In statistical classification and machine learning, classification error is an important performance measure, which is minimized by the Bayes decision rule ...

Explore how machine learning is transforming immunology—from epitope prediction to smarter vaccine design—plus key challenges ...

Background Countries with resource-poor health systems have struggled to improve access to and the quality of caesarean section (C-section; CS) for women seeking care in public health facilities.

IT white papers, webcasts, case studies, and much more - all free to registered TechRepublic members. Discover how generative AI is being harnessed to improve the online shopping experience and ...

BACKGROUND: Shared genetic and lifestyle risk factors may underlie the development of both coronary artery disease (CAD) and dementia. We examined whether an increased genetic risk for CAD is ...