A Tighter Bound for Graphical Models.
Martijn A. R. LeisinkHilbert J. KappenPublished in: Neural Comput. (2001)
Keyphrases
- graphical models
- upper bound
- lower bound
- belief propagation
- probabilistic model
- probabilistic inference
- random variables
- approximate inference
- probabilistic graphical models
- markov networks
- conditional random fields
- bayesian networks
- map inference
- worst case
- factor graphs
- belief networks
- structure learning
- graph structure
- conditional independence
- upper and lower bounds
- statistical inference
- statistical relational learning
- directed acyclic
- optimal solution
- exact inference
- branch and bound
- linear programming
- incomplete information
- graph cuts
- hidden markov models
- gaussian graphical models