Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation
James R. FouldsLevi BoylesChristopher DuBoisPadhraic SmythMax WellingPublished in: CoRR (2013)
Keyphrases
- collapsed gibbs sampling
- variational bayesian inference
- latent dirichlet allocation
- topic models
- gibbs sampling
- generative model
- variational inference
- topic modeling
- approximate inference
- lda model
- latent topics
- text mining
- parameter estimation
- bayesian analysis
- monte carlo
- latent variables
- exact inference
- bayesian inference
- graphical models
- probabilistic model
- machine learning
- prior information
- pairwise
- pattern recognition
- feature extraction
- probabilistic topic models
- image segmentation
- feature selection