A Fully Bayesian Inference with Gibbs Sampling for Finite and Infinite Discrete Exponential Mixture Models.
Xuanbo SuNuha ZamzamiNizar BouguilaPublished in: Appl. Artif. Intell. (2022)
Keyphrases
- gibbs sampling
- mixture model
- em algorithm
- expectation maximization
- markov chain monte carlo
- generative model
- maximum likelihood
- gaussian mixture model
- parameter estimation
- probabilistic model
- latent dirichlet allocation
- hyperparameters
- approximate inference
- markov chain
- gaussian process
- topic models
- unsupervised learning
- belief networks
- maximum a posteriori
- bayesian framework
- model selection
- posterior probability
- exact inference
- graphical models
- posterior distribution
- incomplete data
- probability density function
- monte carlo
- language model
- variational inference
- bayesian inference