FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs.
Andrew McCallumKarl SchultzSameer SinghPublished in: NIPS (2009)
Keyphrases
- factor graphs
- message passing
- graphical models
- belief propagation
- probability functions
- approximate inference
- latent variables
- exact inference
- probabilistic model
- probabilistic inference
- belief networks
- probabilistic graphical models
- model construction
- generative model
- markov random field
- bayesian networks
- high quality
- parameter learning
- posterior probability