A Knowledge Acquisition Tool for Bayesian-Network Troubleshooters

Claus Skaanning

Published in: CoRR (2013)

Keyphrases

bayesian networks
learning bayesian networks
graphical models
probabilistic inference
bayesian network inference
probabilistic reasoning
conditional independence
incomplete data

naive bayes
uncertain knowledge
inference in bayesian networks
conditional probabilities
structural learning
bayesian network structure
diagnostic reasoning

dynamic bayesian networks
neural network
structure learning
causal relationships
expert knowledge
information retrieval
databases

parameter learning
hidden variables
random variables
model selection
special case
bayesian network structures
bayesian network learning