Method of constructing data classifiers and classifiers constructed according to the method
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United States of America Patent
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Sep 16, 2003
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Jan 5, 1999
filing date -
Jan 5, 1999
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Abstract
A method of constructing data classifiers in cases where the number of features is much larger than the number of training examples and it is critical to avoid overtraining, is particularly useful in recognizing computer objects containing or likely to contain a computer virus. The method provides a novel way of tolerating imperfectly classifiable data, of learning in time polynomial in the size of the input data, and of avoiding overtraining. Training is performed by constructing and solving a linear program (LP) or integer program (IP).
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