Inferring Parameters and Structure of Latent Variable Models by Variational Bayes
Hagai AttiasPublished in: CoRR (2013)
Keyphrases
- variational bayes
- latent variables
- latent variable models
- latent dirichlet allocation
- hyperparameters
- hidden variables
- maximum likelihood
- gaussian mixture model
- probabilistic model
- bayesian inference
- topic models
- data analysis
- parameter estimation
- mixture model
- generative model
- model selection
- text mining
- natural language processing
- data points
- expectation propagation