Finding Non-overlapping Clusters for Generalized Inference Over Graphical Models
Divyanshu VatsJosé M. F. MouraPublished in: CoRR (2011)
Keyphrases
- graphical models
- overlapping clusters
- probabilistic inference
- exact inference
- map inference
- bayesian networks
- belief networks
- factor graphs
- loopy belief propagation
- belief propagation
- approximate inference
- undirected graphical models
- efficient inference algorithms
- probabilistic model
- statistical inference
- probabilistic graphical models
- structure learning
- directed graphical models
- possibilistic networks
- graphical structure
- relational dependency networks
- markov networks
- probabilistic reasoning
- conditional random fields
- clustering algorithm
- markov logic networks
- subspace clustering
- bayesian inference
- graph structure
- message passing
- data distribution
- data sets
- statistical relational learning
- interesting patterns
- knowledge discovery
- machine learning