On Bayesian analysis of a finite generalized Dirichlet mixture via a Metropolis-within-Gibbs sampling.
Nizar BouguilaDjemel ZiouRiad I. HammoudPublished in: Pattern Anal. Appl. (2009)
Keyphrases
- bayesian analysis
- gibbs sampling
- markov chain monte carlo
- markov chain
- computationally feasible
- approximate inference
- topic models
- parameter estimation
- expectation maximization
- belief networks
- latent dirichlet allocation
- em algorithm
- posterior distribution
- collapsed gibbs sampling
- generative model
- exact inference
- posterior probability
- bayesian inference
- simulated annealing
- graphical models
- lower bound
- belief propagation
- least squares
- active learning
- prior knowledge
- pairwise
- machine learning