Nature

A tiny ‘Bayesian machine’ does much with little

A chip its inventors call a Bayesian machine accomplishes complex tasks with less training than a standard neural network 1. Artificial neural networks are algorithms that can perform tasks such as ...
ascopubs.org

Bayesian Counterfactual Machine Learning Individualizes Radiation Modality Selection to Mitigate Immunosuppression

Tumor Site–Specific Radiation-Induced Lymphocyte Depletion Models After Fractionated Radiotherapy: Considerations of Model Structure From an Aggregate Data Meta-Analysis Lymphocytes play critical ...
insideHPC

Using Bayesian Optimization to Tune Machine Learning Models

The presentation below, “Using Bayesian Optimization to Tune Machine Learning Models” by Scott Clark of SigOpt is from MLconf. The talk briefly introduces Bayesian Global Optimization as an efficient ...
JSTOR Daily

Probabilistic Tsunami Heights Model using Bayesian Machine Learning

Journal of Coastal Research, SPECIAL ISSUE No. 95. An International Forum for the Littoral Sciences (SPRING 2020), pp. 1291-1296 (6 pages) Tsunamis, which are long-period oceanic waves, are known as ...
inc42

What Are Bayesian Networks? Here’s All You Need to Know

Bayesian networks, also known as Bayes nets, belief networks, or decision networks, are a powerful tool for understanding and reasoning about complex systems under uncertainty. They are essentially ...
mccormick.northwestern.edu

MLDS 490: Bayesian Methods for Inference and Decision Making

This course offers a rigorous yet practical exploration of Bayesian reasoning for data-driven inference and decision-making. Students will gain a deep understanding of probabilistic modeling, and ...