Scalable Inference for Logistic-Normal Topic Models.
Jianfei ChenJun ZhuZi WangXun ZhengBo ZhangPublished in: NIPS (2013)
Keyphrases
- topic models
- gibbs sampling
- collapsed gibbs sampling
- variational inference
- latent dirichlet allocation
- topic modeling
- latent variables
- probabilistic model
- text documents
- pitman yor process
- latent topics
- generative process
- variational bayesian inference
- co occurrence
- text mining
- generative model
- probabilistic inference
- latent topic models
- hierarchical bayesian
- bayesian networks
- bayesian nonparametric
- bayesian inference
- exact inference
- approximate inference
- belief networks
- maximum likelihood
- text classification
- object recognition