This project implements an intelligent medical diagnosis system using a Bayesian Network to predict the most probable disease based on patient-reported symptoms. The system is trained on a medical ...

Introduction: Bayesian data mining methods have been used to evaluate drug safety signals from adverse event reporting systems and allow for evaluation of multiple endpoints that are not prespecified.

Abstract: This letter proposes a variational Bayesian sparse decision-feedback equalizer (VB-SDFE) based on the recursive least squares (RLS) algorithm for underwater acoustic communications. The ...

OSAKA, Japan. As newly reported by the journal Physical Chemistry Chemical Physics, researchers from the Graduate School of Science at Osaka City University have developed a quantum algorithm that can ...

Machine Learning gets all the marketing hype, but are we overlooking Bayesian Networks? Here's a deeper look at why "Bayes Nets" are underrated - especially when it comes to addressing probability and ...

The final, formatted version of the article will be published soon. In order to improve the accuracy of state evaluation of Zinc Oxide arrester, a method of state evaluation of Zinc Oxide arrester ...