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GENERALIZED ACTIVE LEARNING

  • US 20100332423A1
  • Filed: 06/24/2009
  • Published: 12/30/2010
  • Est. Priority Date: 06/24/2009
  • Status: Abandoned Application
First Claim
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1. A method for active learning that includes decisions on information acquisition of both missing labels and missing features within one or more cases, executed via a processor on a computer comprising a memory whereon computer-executable instructions comprising the method are stored, the method comprising:

  • modeling a joint distribution of variables, comprising observed and unobserved labels and features, for one or more cases;

    determining probability distributions for respective unobserved variables;

    identifying an unobserved variable from the joint distribution of variables that has a return on information (ROI) metric corresponding to a combination of a desired uncertainty metric for a value of the unobserved variable and a desired cost for observing the value of the unobserved variable;

    observing the value of the identified variable; and

    updating the probability distributions for the respective unobserved variables in the joint distribution of variables utilizing the value of the identified variable.

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