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Parallelization of bayesian network structure learning

  • US 20070094214A1
  • Filed: 07/15/2005
  • Published: 04/26/2007
  • Est. Priority Date: 07/15/2005
  • Status: Abandoned Application
First Claim
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1. A method for network structure learning comprising:

  • determining whether a score cache includes a score for each of multiple network node families, the family scores to provide values with which to compute scores for multiple neighbors;

    distributing for scoring among parallel computing devices node families for which the score cache does not include scores;

    loading resulting scores from the parallel computing devices for the scored node families into the master score cache; and

    synchronizing the parallel computing devices with the master score cache to make the resulting scores available to the parallel computing devices for scoring the neighbors.

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