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Configurable Machine Learning Method Selection and Parameter Optimization System and Method

  • US 20160110657A1
  • Filed: 10/14/2015
  • Published: 04/21/2016
  • Est. Priority Date: 10/14/2014
  • Status: Abandoned Application
First Claim
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1. A method comprising:

  • receiving data;

    determining, using one or more processors, a first candidate machine learning method;

    tuning, using one or more processors, one or more parameters of the first candidate machine learning method;

    determining, using one or more processors, that the first candidate machine learning method and a first parameter configuration for the first candidate machine learning method are the best based on a measure of fitness subsequent to satisfaction of a stop condition; and

    outputting, using one or more processors, the first candidate machine learning method and the first parameter configuration for the first candidate machine learning method.

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