A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints.

Radu Stefan Niculescu Tom M. Mitchell R. Bharat Rao

Published in: IJCAI (2007)

Keyphrases

theoretical framework
learning bayesian networks
inequality constraints
statistical data
constrained optimization

incomplete data
nonlinear programming
bayesian networks
structure learning
interior point methods

conditional independence
equality constraints
statistical learning theory
convex optimization
causal models

graphical models
evolutionary algorithm
lower bound
image segmentation