Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints.
Yun ZhouNorman E. FentonTimothy M. HospedalesMartin NeilPublished in: UAI (2015)
Keyphrases
- probabilistic graphical models
- parameter learning
- bayesian networks
- graphical models
- structure learning
- statistical learning
- generative model
- maximum likelihood
- conditional random fields
- em algorithm
- markov random field
- approximate inference
- parameter estimation
- prior knowledge
- latent variables
- exact inference
- maximum a posteriori
- belief propagation
- probabilistic inference
- random variables
- markov networks
- expectation maximization
- stereo matching
- gaussian process
- model selection
- structured prediction
- probabilistic model