A Dynamic Programming Algorithm for Inference in Recursive Probabilistic Programs
Andreas StuhlmüllerNoah D. GoodmanPublished in: CoRR (2012)
Keyphrases
- bayesian networks
- inference process
- belief networks
- probabilistic networks
- probabilistic reasoning
- probabilistic model
- bayesian inference
- statistical relational learning
- probabilistic logic
- logical inference
- probabilistic inference
- bayesian reasoning
- bayes nets
- directed graphical models
- generative model
- recursive programs
- information theoretic
- database
- graphical models
- probabilistic logic programs
- factor graphs
- probabilistic modeling
- inference in bayesian networks
- variable elimination
- exact inference
- bayesian model
- maximum entropy
- belief propagation
- conditional random fields
- database systems