Memory bounded inference in topic models.
Ryan GomesMax WellingPietro PeronaPublished in: ICML (2008)
Keyphrases
- topic models
- gibbs sampling
- collapsed gibbs sampling
- variational inference
- latent dirichlet allocation
- topic modeling
- probabilistic model
- text documents
- text mining
- co occurrence
- latent topic models
- generative model
- latent variables
- variational bayesian inference
- pitman yor process
- generative process
- probabilistic inference
- hierarchical bayesian
- belief networks
- text corpora
- bayesian inference
- bayesian networks
- visual recognition
- graphical models
- probabilistic latent semantic analysis
- natural language processing
- prior knowledge
- feature selection
- artificial intelligence
- data mining