Generalized Bayesian Structure Learning from Noisy Datasets.

Yan Tang Yu Chen Gaolong Ge

Published in: DASFAA Workshops (2019)

Keyphrases

structure learning
bayesian networks
graphical models
conditional independence
parameter learning
bayesian network structures
markov logic networks

incomplete data
bayesian network structure learning
bayesian network classifiers
transfer learning
posterior probability
parameter estimation
hidden variables

markov networks
random variables
probability distribution
belief propagation
conditional probabilities
maximum likelihood

bayesian inference
posterior distribution
approximate inference
probabilistic model
learning process
learning algorithm