Decomposable Graphical Models on Learning, Fusion and Revision.
Fabian SchmidtJörg GebhardtRudolf KrusePublished in: WCSC (2016)
Keyphrases
- graphical models
- markov networks
- bayesian networks
- learning algorithm
- probabilistic model
- approximate inference
- belief propagation
- conditional independence
- relational dependency networks
- deep architectures
- map inference
- undirected graphical models
- statistical relational learning
- markov logic networks
- structured prediction
- hidden variables
- statistical learning
- maximum likelihood
- hidden markov models
- prior knowledge
- lower bound