Scalable MAP inference in Bayesian networks based on a Map-Reduce approach.
Darío Ramos-LópezAntonio SalmerónRafael RumíAna M. MartínezThomas D. NielsenAndrés R. MasegosaHelge LangsethAnders L. MadsenPublished in: Probabilistic Graphical Models (2016)
Keyphrases
- map reduce
- inference in bayesian networks
- bayesian networks
- cloud computing
- open source
- efficient implementation
- parallel computation
- commodity hardware
- exact inference
- recently developed
- approximate inference
- parallel computing
- community detection
- maximum a posteriori
- graphical models
- first order logic
- data mining
- probabilistic inference
- expectation maximization
- junction tree
- xml documents