Convolutional Factor Graphs as Probabilistic Models.
Yongyi MaoFrank R. KschischangBrendan J. FreyPublished in: UAI (2004)
Keyphrases
- factor graphs
- probabilistic model
- graphical models
- latent variables
- belief propagation
- deep belief networks
- approximate inference
- probabilistic graphical models
- exact inference
- message passing
- generative model
- markov networks
- undirected graphical models
- probabilistic inference
- random variables
- bayesian networks
- conditional random fields
- restricted boltzmann machine
- bayesian inference
- hidden variables
- expectation maximization
- structure learning
- parameter learning
- topic models
- posterior probability
- conditional probabilities
- three dimensional
- belief networks
- joint distribution