From Conditional Independence to Parallel Execution in Hierarchical Models.
Balázs NémethTom HaberJori LiesenborgsWim LamottePublished in: ICCS (1) (2020)
Keyphrases
- conditional independence
- parallel execution
- hierarchical models
- hierarchical model
- bayesian networks
- graphical models
- random variables
- exact inference
- hierarchical structures
- data partitioning
- cost model
- probability distribution
- causal models
- parallel processing
- query processing
- parallel computing
- generative model
- query execution
- structure learning
- directed acyclic graph
- learning algorithm
- shared memory
- massively parallel
- probabilistic model
- parallel programming
- probabilistic inference
- approximate inference