306 citations · 579 across the 29 of their papers we have counts for
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cs.AI2013
Using Causal Information and Local Measures to Learn Bayesian Networks
Wai Lam, Fahiem Bacchus
In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL p…
cs.AI2013★ 10 cited
Using New Data to Refine a Bayesian Network
Wai Lam, Fahiem Bacchus
We explore the issue of refining an existent Bayesian network structure using new data which might mention only a subset of the variables. Most previous works have only considered…