Learning Bayesian Networks with Restricted Causal Interactions
A major problem for the learning of Bayesian networks (BNs) is the exponential number of parameters needed for conditional probability tables. Recent research reduces this complexity by modeling local structure in the probability tables. We examine t…
Authors: Julian R. Neil, Chris S. Wallace, Kevin B. Korb
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