On the computability of conditional probability.
Nathanael L. AckermanCameron E. FreerDaniel M. RoyPublished in: CoRR (2010)
Keyphrases
- conditional probabilities
- bayesian networks
- probabilistic inference
- probabilistic model
- probability distribution
- bayesian model
- belief networks
- joint distribution
- random variables
- network parameters
- prior probabilities
- posterior probability
- inference rules
- class labels
- joint probability
- bayesian network structure
- probability measures
- bayesian belief networks
- data sets
- discrete random variables
- prior knowledge
- learning algorithm