Review recommendation with graphical model and EM algorithm.
Richong ZhangThomas T. TranPublished in: WWW (2010)
Keyphrases
- graphical models
- em algorithm
- expectation maximization
- probabilistic model
- belief propagation
- mixture model
- parameter estimation
- random variables
- maximum likelihood
- generative model
- probabilistic graphical models
- expectation maximisation
- approximate inference
- probabilistic inference
- gaussian mixture model
- conditional random fields
- structure learning
- markov networks
- gaussian mixture
- maximum a posteriori
- maximum likelihood estimation
- log likelihood
- hyperparameters
- incomplete data
- hidden variables
- belief networks
- bayesian networks
- loopy belief propagation
- parameter learning
- unsupervised learning
- factor graphs
- conditional independence
- chain graphs
- bayesian framework
- image segmentation
- message passing
- machine learning
- distributed systems
- markov random field
- objective function