Empirical modeling of confusion matrices
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United States of America Patent
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May 7, 2013
Grant Date -
Apr 29, 2010
app pub date -
Oct 23, 2009
filing date -
Oct 27, 2008
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Abstract
A method and system of estimating the performance of a classifier system based on a reported confusion matrix includes, in one embodiment, parameters fit to observed confusion matrices, such that the expected performance of decision detection versus the probability of not-in-library reports can be estimated based on the forced decision confusion matrix. The approach also lends itself to a general methodology for modeling classes of confusers in a statistical manner, which can be extended to modeling clutter severity.
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