Two Roles for Bayesian Methods

Provides practical learning algorithms:

• Naive Bayes learning

• Bayesian belief network learning

• Combine prior knowledge (prior probabilities) with observed data

• Requires prior probabilities

Provides useful conceptual framework

• Provides ``gold standard'' for evaluating other learning algorithms
• Additional insight into Occam's razor