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

to full Bayesian score.

• Full Bayesian formulation
  • prior on network structures & parameters
  • more parameters ? higher dimensional space
  • get balance effect as a byproduct*

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