Graphical Model Parameter Learning by Inverse Linear Programming.
Vera TrajkovskaPaul SwobodaFreddie ÅströmStefania PetraPublished in: SSVM (2017)
Keyphrases
- parameter learning
- graphical models
- linear programming
- structure learning
- approximate inference
- conditional random fields
- bayesian networks
- probabilistic graphical models
- belief propagation
- probabilistic model
- factor graphs
- probabilistic inference
- random variables
- markov networks
- conditional independence
- generative model
- optimal solution
- exact inference
- belief networks
- dynamic programming
- np hard
- maximum likelihood
- hidden variables
- objective function
- social networks
- lp relaxation
- markov random field