Distributed Inference for Latent Dirichlet Allocation.
David NewmanArthur U. AsuncionPadhraic SmythMax WellingPublished in: NIPS (2007)
Keyphrases
- latent dirichlet allocation
- gibbs sampling
- topic models
- collapsed gibbs sampling
- variational bayes
- variational bayesian inference
- variational inference
- generative model
- topic modeling
- lda model
- topic discovery
- text mining
- distributed systems
- bayesian inference
- probabilistic latent semantic analysis
- latent topic models
- latent topics
- hierarchical bayesian model
- directed graphical models
- bayesian analysis
- approximate inference
- mixture model
- markov chain
- semi supervised
- knowledge representation
- high dimensional
- bayesian networks