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Gradient based training method for a support vector machine

  • US 8,005,293 B2
  • Filed: 04/11/2001
  • Issued: 08/23/2011
  • Est. Priority Date: 04/11/2000
  • Status: Active Grant
First Claim
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1. A training method for a support vector machine to perform data classification for a relationship between a training set of data, the method executed by a computer system, including executing an iterative process by a processor on the training set of data read from a data input device to determine parameters defining said machine represented by:


  • y=sgn(

    x+β

    b
    ),where y is the classification output which is output by a data output device, x is the input data read from the data input device, β

    is 0 or 1, the vector w and bias b, being parameters defining a decision surface, said iterative process being executed by the processor based on a derivative optimization function for said parameters and said data set.

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