CausalOps - Towards an Industrial Lifecycle for Causal Probabilistic Graphical Models.
Robert MaierAndreas SchlattlThomas GuessJürgen MottokPublished in: CoRR (2023)
Keyphrases
- probabilistic graphical models
- graphical models
- markov blanket
- markov networks
- bayesian networks
- latent variables
- probabilistic inference
- first order logic
- belief propagation
- hidden variables
- random variables
- probabilistic model
- approximate inference
- causal models
- belief functions
- parameter learning
- maximum likelihood
- conditional random fields
- soft computing
- structure learning
- knowledge base
- computational intelligence
- data mining
- conditional independence
- neural network
- least squares