Yixian Jiang Integrates Bayesian Networks and Metadata Standards to Advance Intelligent Digital Object Systems

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...
Nature

Development and validation of a Bayesian network for the differential diagnosis of anterior uveitis

The 11 most common etiologies were included (idiopathic, ankylosing spondylitis, psoriasic arthritis, reactive arthritis, inflammatory bowel diseases, sarcoidosis, tuberculosis, Behçet, ...
JSTOR Daily

Parameter Updating in a Bayes Network

A Bayes network is a directed acyclic graph in which the links are quantified by fixed conditional probabilities and the nodes represent random variables. The primary use of the network is to provide ...
Diginomica

Can Bayesian Networks provide answers when Machine Learning comes up short? It's a question of probabilities

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 ...
Medical Dialogues

Energy-Related Depressive Symptoms Linked to Inflammation and Diabetes: Study

A new study using Bayesian network analysis from the NESDA cohort suggests that depressive symptoms, especially those related ...
Open Knowledge Repository - World Bank

Maldives: Decision Support for Coral Reef and Climate Resilience Using Bayesian Networks

The coral reef ecosystems of the Maldives are critical to the nation’s ecological integrity, economic development, and ...
Network World

A Bayesian filter that nabs 99.75% of spam?

We suspect that you had more than enough mathematics in the form of Bayes Theorem last week so this week we’ll explain how it’s used in what is called Bayesian filtering to remove spam (note that the ...