Parameter learning is the automatic learning of the specific relationships nodes have with their parents using case data, once it has already been determined which nodes are the parents of each node. These relationships are usually in the form of conditional probabilities, or the parameters of a conditional probability equation. Compare with structure learning. More Info

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