Quantifying uncertainty in Bayesian Networks structural learning.
Vitor BarthHenrique de Oliveira CaetanoCarlos Dias MacielMarco AielloPublished in: EAIS (2024)
Keyphrases
- structural learning
- bayesian networks
- uncertain knowledge
- conditional probabilities
- graphical models
- conditional independence
- structure learning
- probabilistic inference
- probability distribution
- probabilistic model
- posterior probability
- incomplete data
- probabilistic knowledge
- image segmentation
- conditional independence tests
- utility theory
- probabilistic reasoning
- directed acyclic graph
- random variables
- exact inference
- approximate inference
- markov networks
- decision theory
- parameter learning
- belief functions
- maximum entropy
- conditional independencies