Quantum Inference on Bayesian Networks.
Guang Hao LowTheodore J. YoderIsaac L. ChuangPublished in: CoRR (2014)
Keyphrases
- bayesian networks
- inference in bayesian networks
- probabilistic inference
- multiply sectioned bayesian networks
- exact inference
- dynamic bayesian networks
- probabilistic reasoning
- structure learning
- bayesian network inference
- parameter learning
- conditional independence
- probabilistic modeling
- credal networks
- probabilistic model
- probability distribution
- evidential reasoning
- graphical models
- learning bayesian networks
- expert knowledge
- neural network
- clique tree
- variable elimination
- junction tree
- random variables
- quantum mechanics
- quantum computation
- approximate inference
- naive bayes
- posterior probability
- incomplete data
- conditional probabilities
- special case
- belief networks
- quantum computing
- logic programming
- context specific independence
- maximum likelihood
- influence diagrams