Deterministic Inference of Topic Models via Maximal Latent State Replication.
Daniel RugelesZhen HaiManoranjan DashGao CongPublished in: IEEE Trans. Knowl. Data Eng. (2022)
Keyphrases
- topic models
- latent variables
- latent topics
- gibbs sampling
- latent dirichlet allocation
- topic modeling
- probabilistic topic models
- variational inference
- generative process
- collapsed gibbs sampling
- latent topic model
- latent semantics
- lda model
- latent topic models
- text documents
- generative model
- co occurrence
- structured prediction
- text mining
- probabilistic model
- latent factors
- bayesian networks
- variational bayesian inference
- relevance model
- machine learning
- probabilistic inference
- support vector
- artificial intelligence