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Son & Spouses

  • The Son & Spouses algorithm produces a structure in which the Target Node is the parent of a subset of nodes having potentially other parents (spouses).
  • This structure is to some extent an Augmented Naive Bayes structure in which the set of children is not fixed a priori but searched according to the marginal dependence of the nodes on the Target Node.
  • Thus, the algorithm highlightsg the nodes that are not correlated to the Target Node.
  • The learning time of the Son & Spouses algorithm is comparable to that of the Augmented Naive Bayes learning algorithm.


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