Linear Programs for Hypotheses Selection in Probabilistic Inference Models.
Anders BergkvistPeter DamaschkeMarcel LüthiPublished in: J. Mach. Learn. Res. (2006)
Keyphrases
- probabilistic inference
- linear program
- influence diagrams
- graphical models
- probabilistic model
- message passing
- conditional probabilities
- linear programming
- bayesian networks
- bayesian belief networks
- stochastic programming
- belief networks
- semi infinite
- context specific independence
- objective function
- neural network
- weighted model counting
- approximate inference
- distributed systems
- dynamic programming
- genetic algorithm