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Active Machine Learning

  • US 20160162802A1
  • Filed: 12/07/2014
  • Published: 06/09/2016
  • Est. Priority Date: 12/07/2014
  • Status: Active Grant
First Claim
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1. A method comprising:

  • initiating active machine learning through an active machine learning system configured to train an auxiliary machine learning model to produce at least one new labeled observation;

    refining a target machine learning model based at least on the active machine learning, wherein the target machine learning model includes a limited-capacity machine learning model; and

    retraining the auxiliary machine learning model with the at least one new labeled observation subsequent to refining the capacity of the target machine learning model.

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