Variational inference for conditional random fields.
Chih-Pin LiaoJen-Tzung ChienPublished in: ICASSP (2010)
Keyphrases
- conditional random fields
- variational inference
- probabilistic model
- probabilistic graphical models
- exact inference
- graphical models
- approximate inference
- bayesian inference
- markov networks
- generative model
- topic models
- variational methods
- mixture model
- random fields
- factor graphs
- exponential family
- posterior distribution
- latent dirichlet allocation
- parameter learning
- hidden markov models
- gaussian process
- information extraction
- markov random field
- structured prediction
- latent variables
- bayesian networks
- pairwise
- higher order
- expectation maximization
- language model
- belief propagation
- closed form
- segmentation method
- computer vision
- dynamic bayesian networks
- hidden variables
- probabilistic inference
- machine learning
- co occurrence
- learning algorithm