A generative stochastic graphical model for simulating social protest.
Dharmashankar SubramanianLucia L. TitusPublished in: WSC (2017)
Keyphrases
- graphical models
- belief propagation
- probabilistic model
- probabilistic graphical models
- random variables
- bayesian networks
- approximate inference
- structure learning
- generative model
- conditional random fields
- probabilistic inference
- markov networks
- markov logic networks
- social networks
- map inference
- conditional independence
- belief networks
- factor graphs
- graph structure
- monte carlo
- message passing
- exact inference
- undirected graphical models
- gaussian graphical models
- conditional dependencies
- pose estimation
- pairwise
- three dimensional