Declarative Probabilistic Programming for Undirected Graphical Models: Open Up to Scale Up.
Sebastian RiedelPublished in: Statistical Relational Artificial Intelligence (2010)
Keyphrases
- undirected graphical models
- probabilistic model
- graphical models
- conditional random fields
- factor graphs
- bayesian networks
- directed graphical models
- exact inference
- generative model
- belief networks
- approximate inference
- message passing
- reverse engineering
- structure learning
- probabilistic graphical models
- high dimensional
- data sets