Unsupervised (parameter) learning for MRFs on bipartite graphs.
Boris FlachTomás SixtaPublished in: BMVC (2013)
Keyphrases
- parameter learning
- bipartite graph
- markov random field
- bayesian networks
- structure learning
- conditional random fields
- statistical learning
- generative model
- em algorithm
- parameter estimation
- maximum matching
- maximum likelihood
- approximate inference
- semi supervised
- expectation maximization
- unsupervised learning
- link prediction
- hidden variables
- higher order
- belief propagation
- graphical models
- supervised learning
- data sets
- social network analysis
- maximum a posteriori
- markov chain
- probability distribution
- social networks