Exploiting tensor rank-one decomposition in probabilistic inference.
Petr SavickýJirí VomlelPublished in: Kybernetika (2007)
Keyphrases
- probabilistic inference
- tensor decomposition
- graphical models
- weighted model counting
- conditional probabilities
- bayesian networks
- approximate inference
- belief networks
- message passing
- influence diagrams
- context specific independence
- probabilistic reasoning
- efficient inference
- higher order
- exact inference
- variable elimination
- bucket elimination
- tree decomposition
- bayesian belief networks
- decomposition method
- back propagation
- distributed systems
- elimination algorithm
- probabilistic model
- decision trees
- data sets