Deep unfolding inference for supervised topic model.
Chao-Hsi LeeJen-Tzung ChienPublished in: ICASSP (2016)
Keyphrases
- topic models
- gibbs sampling
- collapsed gibbs sampling
- weakly supervised
- variational inference
- supervised topic models
- latent dirichlet allocation
- topic modeling
- probabilistic model
- text mining
- text documents
- variational bayesian inference
- latent variables
- co occurrence
- generative model
- pitman yor process
- bayesian inference
- baseline models
- latent topics
- bayesian networks
- supervised learning
- variational bayes
- learning algorithm
- feature selection
- generative process
- lda model
- probabilistic topic models
- latent topic model
- semi supervised
- information retrieval
- structured prediction
- machine learning