Finding Non-Overlapping Clusters for Generalized Inference Over Graphical Models.
Divyanshu VatsJosé M. F. MouraPublished in: IEEE Trans. Signal Process. (2012)
Keyphrases
- graphical models
- overlapping clusters
- probabilistic inference
- exact inference
- map inference
- belief networks
- belief propagation
- factor graphs
- loopy belief propagation
- bayesian networks
- statistical inference
- probabilistic model
- approximate inference
- undirected graphical models
- efficient inference algorithms
- probabilistic graphical models
- directed graphical models
- structure learning
- conditional random fields
- clustering algorithm
- relational dependency networks
- graphical structure
- possibilistic networks
- parameter learning
- markov logic networks
- graph structure
- message passing
- probabilistic reasoning
- statistical relational learning
- bayesian inference
- global information
- subspace clustering
- pattern mining
- feature space
- feature selection