Learning Bayes Nets

Suppose structure known, variables partially observable

e.g., observe ForestFire, Storm, BusTourGroup, Thunder, but not Lightning, Campfire...

• Similar to training neural network with hidden units
• In fact, can learn network conditional probability tables using gradient ascent!
• Converge to network 3#3 that (locally) maximizes 7#7