Better scoring functions
MDL formulation: balance fit to data and model complexity (# of parameters)
Score(B) = P(data | B) - model complexity
* with Dirichlet parameter prior, MDL is an approximation
- Full Bayesian formulation
- prior on network structures & parameters
- more parameters ? higher dimensional space
- get balance effect as a byproduct*