Mean Field Variational Approximation for Continuous-Time Bayesian Networks
Ido CohnTal El-HayNir FriedmanRaz KupfermanPublished in: CoRR (2012)
Keyphrases
- continuous time bayesian networks
- variational approximation
- markov processes
- latent variables
- approximate inference
- finite state
- variational bayes
- variational inference
- stochastic processes
- bayesian inference
- approximation algorithms
- exact inference
- em algorithm
- closed form
- kullback leibler
- graphical models
- posterior distribution
- bayesian networks
- markov chain monte carlo
- stochastic process
- maximum likelihood
- dynamic programming