Supporting work for the published chapter titled "Approaches to Working with Large-Scale Graphs for Cybersecurity Applications" in the textbook Cybersecurity and High-Performance Computing Environments
Updated 2025-02-19 16:01:33 -06:00
Implement approximate inference (likelihood weighting, Gibbs sampling, Metropolis Hastings) methods for Bayesian Networks (BNs).
Updated 2025-02-19 15:58:11 -06:00
Epidemiology Modeling for Compliance Graphs
Updated 2023-05-03 19:39:51 -05:00
Implement approximate inference (likelihood weighting, Gibbs sampling, Metropolis Hastings) methods for Bayesian Networks (BNs).
Updated 2022-09-05 18:52:17 -05:00