EDML: A Method for Learning Parameters in Bayesian Networks

Details EDML: A Method for Learning Parameters in Bayesian Networks EDML: A Method for Learning Parameters in Bayesian Networks

2012-02-14

arxiv.org/abs/1202.3709v1

Computer Science

Artificial Intelligence

Scientific paper

We propose a method called EDML for learning MAP parameters in binary Bayesian networks under incomplete data. The method assumes Beta priors and can be used to learn maximum likelihood parameters when the priors are uninformative. EDML exhibits interesting behaviors, especially when compared to EM. We introduce EDML, explain its origin, and study some of its properties both analytically and empirically.

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