Gibbs Sampling in Open-Universe Stochastic Languages.
Nimar S. AroraRodrigo de Salvo BrazErik B. SudderthStuart J. RussellPublished in: UAI (2010)
Keyphrases
- gibbs sampling
- markov chain
- topic models
- approximate inference
- latent dirichlet allocation
- parameter estimation
- expectation maximization
- em algorithm
- belief networks
- conditional probability distributions
- markov chain monte carlo
- exact inference
- monte carlo
- graphical models
- latent variables
- co occurrence
- dynamic programming
- hidden markov models
- data mining