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TRAINING RANDOM WALKS OVER ABSORBING GRAPHS

  • US 20090006290A1
  • Filed: 06/26/2007
  • Published: 01/01/2009
  • Est. Priority Date: 06/26/2007
  • Status: Active Grant
First Claim
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1. A system for specifying at least one learned parameter for a random walk over a graph, comprising:

  • a graph generation component that creates a graph from a portion of data, the graph having two or more disparate nodes and one or more links between the nodes based at least in part on the data; and

    a training component that learns at least one parameter with respect to performing a random walk on the graph, the parameter corresponds to at least one probability that affects direction of the random walk.

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