A General Algorithm for Approximate Inference and Its Application to Hybrid Bayes Nets.
Daphne KollerUri LernerDragomir AnguelovPublished in: UAI (1999)
Keyphrases
- dynamic programming
- bayes nets
- k means
- approximate inference
- np hard
- probabilistic model
- graphical models
- learning algorithm
- expectation maximization
- closed form
- model selection
- worst case
- higher order
- belief propagation
- prior information
- inductive logic programming
- message passing
- probabilistic inference
- optical flow
- dynamic bayesian networks
- training set