A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints.
Radu Stefan NiculescuTom M. MitchellR. Bharat RaoPublished 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