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KDD
1994
ACM

Learning Bayesian Networks: The Combination of Knowledge and Statistical Data

13 years 7 months ago
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
We describe scoring metrics for learning Bayesian networks from a combination of user knowledge and statistical data. We identify two important properties of metrics, which we call event equivalence and parameter modularity. These properties have been mostly ignored, but when combined, greatly simplify the encoding of a user's prior knowledge. In particular, a user can express his knowledge--for the most part--as a single prior Bayesian network for the domain.
David Heckerman, Dan Geiger, David Maxwell Chicker
Added 10 Aug 2010
Updated 10 Aug 2010
Type Conference
Year 1994
Where KDD
Authors David Heckerman, Dan Geiger, David Maxwell Chickering
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