GiSS: Combining Gibbs Sampling and SampleSearch for Inference in Mixed Probabilistic and Deterministic Graphical Models.
Deepak VenugopalVibhav GogatePublished in: AAAI (2013)
Keyphrases
- gibbs sampling
- graphical models
- approximate inference
- belief networks
- exact inference
- importance sampling
- probabilistic model
- bayesian networks
- factor graphs
- probabilistic inference
- belief propagation
- probabilistic reasoning
- probabilistic graphical models
- random variables
- expectation maximization
- conditional random fields
- variational methods
- topic models
- generative model
- structure learning
- markov networks
- dynamic bayesian networks
- markov chain monte carlo
- directed graphical models
- latent variables
- conditional independence
- latent dirichlet allocation
- bayesian inference
- posterior probability
- conditional probabilities
- parameter estimation
- collective classification
- exponential family
- probability distribution
- markov logic networks
- statistical relational learning
- em algorithm