Exact and approximate inference in graphical models: variable elimination and beyond.
Nathalie PeyrardSimon de GivryAlain FrancStéphane RobinRégis SabbadinThomas SchiexMatthieu VignesPublished in: CoRR (2015)
Keyphrases
- variable elimination
- exact and approximate
- inference in graphical models
- message passing
- probabilistic inference
- belief propagation
- inference in bayesian networks
- bayesian networks
- lower bound
- belief networks
- approximate inference
- graphical models
- distributed systems
- string matching
- query evaluation
- dynamic programming
- branch and bound
- lower and upper bounds
- machine learning
- markov random field