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System and method for learning models from scarce and skewed training data

  • US 20080071721A1
  • Filed: 08/18/2006
  • Published: 03/20/2008
  • Est. Priority Date: 08/18/2006
  • Status: Active Grant
First Claim
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1. A method for learning models from scarce and/or skewed training data, comprising:

  • building a classifier based on accumulated training data;

    estimating a most likely current class distribution using historical training data; and

    selecting historical classifiers based on the most likely class distribution to form a set of classifiers used to classify streaming data with evolving concepts.

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