Time-Dynamic Markov Random Fields for price outcome prediction in the presence of lobbying.
Julia García CabelloPublished in: Appl. Intell. (2022)
Keyphrases
- markov random field
- graph cuts
- outcome prediction
- higher order
- belief propagation
- maximum a posteriori
- random fields
- energy minimization
- parameter estimation
- energy function
- mrf model
- potential functions
- image restoration
- image segmentation
- conditional random fields
- pairwise
- low level vision
- potts model
- markov networks
- graphical models
- probabilistic model
- piecewise constant functions
- high throughput
- maximum likelihood
- bayesian networks
- data sets