Scoring
Fill in parameters using previous techniques & score completed networks.
One possibility for score:
likelihood function: Score(B) = P(data | B)
Example: X, Y independent coin tosses
typical data = (27 h-h, 22 h-t, 25 t-h, 26 t-t)
Max. likelihood network typically fully connected
This is not surprising: maximum likelihood always overfits…