Testing Sparsity Assumptions in Bayesian Networks.
Luke DuttweilerSally W. ThurstonAnthony AlmudevarPublished in: CoRR (2023)
Keyphrases
- bayesian networks
- conditional independence
- high dimensional
- bayesian belief networks
- probabilistic reasoning
- sparse representation
- probabilistic inference
- bayesian network learning
- test cases
- neural network
- model selection
- graphical models
- clustering algorithm
- bayesian network classifiers
- learning bayesian networks
- probabilistic modeling
- simplifying assumptions
- probabilistic classifiers
- learning algorithm