A conditional independence algorithm for learning undirected graphical models.

Christian Borgelt

Published in: J. Comput. Syst. Sci. (2010)

Keyphrases

learning algorithm
conditional independence
graphical models
probabilistic model
random variables
conditional independence tests
bayesian networks
k means
prior knowledge
active learning
dynamic programming
expectation maximization
parameter estimation
probabilistic graphical models
structural learning