A Dynamic Programming Algorithm for Inference in Recursive Probabilistic Programs.
Andreas StuhlmüllerNoah D. GoodmanPublished in: StarAI@UAI (2012)
Keyphrases
- bayesian networks
- inference process
- belief networks
- probabilistic reasoning
- probabilistic networks
- logical inference
- probabilistic inference
- variable elimination
- recursive programs
- generative model
- directed graphical models
- posterior probability
- uncertain data
- bayesian reasoning
- learning algorithm
- probabilistic model
- information theoretic
- probabilistic modeling
- probabilistic logic
- inference engine
- conditional probabilities
- inference in bayesian networks
- independence assumption
- source code