Computing Conditional Probabilities in Markovian Models Efficiently.
Christel BaierJoachim KleinSascha KlüppelholzSteffen MärckerPublished in: TACAS (2014)
Keyphrases
- conditional probabilities
- markovian models
- probability distribution
- probabilistic inference
- bayesian networks
- belief networks
- bayesian belief networks
- probabilistic model
- marginal probabilities
- random variables
- network parameters
- bayesian model
- class labels
- joint distribution
- causal knowledge
- latent variables
- discrete random variables
- main idea consists
- variable length
- prior probabilities
- training set
- reinforcement learning