Learning Hidden Markov Models from Pairwise Co-occurrences with Application to Topic Modeling.
Kejun HuangXiao FuNicholas D. SidiropoulosPublished in: ICML (2018)
Keyphrases
- hidden markov models
- co occurrence
- topic modeling
- pairwise
- hidden state
- sequence classification
- topic models
- continuous hidden markov models
- sequential data
- learning algorithm
- wordnet
- probabilistic latent semantic analysis
- graphical models
- conditional random fields
- unsupervised learning
- prior knowledge
- latent variable models
- keywords
- reinforcement learning
- bayesian networks