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Data labelling apparatus and method thereof

  • US 20030236578A1
  • Filed: 06/25/2002
  • Published: 12/25/2003
  • Est. Priority Date: 07/20/2000
  • Status: Abandoned Application
First Claim
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1. Data labelling apparatus comprising:

  • an input device for receiving a plurality of training labelled examples, each training labelled example comprising a training set of attributes and an associated known label, and at least one unlabelled example, each unlabelled example comprising a set of attributes for which an associated label is to be identified; and

    a processor for identifying one or more potential labels for each unlabelled example, wherein the processor includes a program memory in which is stored a set of instructions for performing analytically or computationally the following steps;

    defining an infinite sample space with respect to label sets, each label set comprising the plurality of training labelled examples and the at least one unlabelled example, in each of the label sets each unlabelled example being associated with a different one of an infinite number of potential labels;

    identifying a relationship between the label sets populating the infinite sample space and strangeness in which the individual label sets each have a calculable strangeness value; and

    identifying a range of potential labels for each unlabelled example on the basis of a predetermined strangeness threshold corresponding to a maximum accepted strangeness value, the range of potential labels being members of a set of label sets having strangeness values falling within the strangeness threshold.

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