Marginalization in Bayesian Networks: Integrating Exact and Approximate Inference.
Fritz M. BayerGiusi MoffaNiko BeerenwinkelJack KuipersPublished in: CoRR (2021)
Keyphrases
- bayesian networks
- exact and approximate
- inference in bayesian networks
- probabilistic inference
- multiply sectioned bayesian networks
- conditional independence
- exact inference
- lower bound
- probabilistic reasoning
- string matching
- probability distribution
- query evaluation
- structure learning
- graphical models
- conditional probabilities
- dynamic bayesian networks
- message passing
- dynamic programming
- approximate inference
- lower and upper bounds
- junction tree
- probabilistic model
- bayesian inference
- data sets
- belief networks
- naive bayes
- objective function
- relational databases