Gibbs Sampling in Open-Universe Stochastic Languages
Nimar S. AroraRodrigo de Salvo BrazErik B. SudderthStuart J. RussellPublished in: CoRR (2012)
Keyphrases
- gibbs sampling
- markov chain
- topic models
- parameter estimation
- approximate inference
- belief networks
- expectation maximization
- latent dirichlet allocation
- em algorithm
- monte carlo
- conditional probability distributions
- exact inference
- markov chain monte carlo
- graphical models
- maximum likelihood
- least squares
- generative model
- image segmentation
- higher order
- probabilistic model
- prior knowledge