The Relation Between Acausality and Interference in Quantum-Like Bayesian Networks.

Catarina Moreira Andreas Wichert

Published in: CoRR (2015)

Keyphrases

bayesian networks
conditional independence
probability distribution
learning bayesian networks
incomplete data

graphical models
structure learning
neural network
naive bayes
parameter learning

hidden variables
approximate inference
probabilistic modeling
bayesian belief networks
probabilistic reasoning

directed acyclic graph
conditional probabilities
random variables
expert systems