Graph partition strategies for generalized mean field inference
Eric P. XingMichael I. JordanStuart J. RussellPublished in: CoRR (2012)
Keyphrases
- belief networks
- partitioning algorithm
- bayesian inference
- loopy belief propagation
- exact inference
- graph structure
- clique tree
- structured data
- probabilistic inference
- variational approximation
- markov random field
- bayesian networks
- inference process
- random walk
- graph theory
- graph partitioning
- graph representation
- connected components
- linear complexity
- probabilistic model
- variational methods
- graph theoretic
- approximate inference
- weighted graph
- vertex set
- graph matching
- em algorithm
- directed graph
- variational inference
- min cut
- undirected graphical models
- online auctions
- normalized cut
- random fields
- probability distribution
- pairwise