A Taxonomy of Explainable Bayesian Networks.
Iena Petronella DerksAlta de WaalPublished in: SACAIR (2020)
Keyphrases
- bayesian networks
- conditional independence
- probabilistic model
- inference in bayesian networks
- probability distribution
- conditional probabilities
- learning bayesian networks
- structure learning
- graphical models
- probabilistic reasoning
- hierarchical structure
- random variables
- naive bayes
- probabilistic inference
- bayesian network structure
- expert knowledge
- hidden variables
- machine learning
- parameter learning
- real time
- bayesian network learning
- probabilistic knowledge
- bayesian network structures
- exact inference
- approximate inference
- classification accuracy
- image segmentation
- genetic algorithm
- neural network