Device and method for training a classifier

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United States of America Patent

PATENT NO 11960991
APP PUB NO 20210165391A1
SERIAL NO

16950396

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Abstract

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A computer-implemented method for training a classifier, particularly a binary classifier, for classifying input signals to optimize performance according to a non-decomposable metric that measures an alignment between classifications corresponding to input signals of a set of training data and corresponding predicted classifications of the input signals obtained from the classifier. The method includes providing weighting factors that characterize how the non-decomposable metric depends on a plurality of terms from a confusion matrix of the classifications and the predicted classifications, and training the classifier depending on the provided weighting factors.

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Patent Owner(s)

Patent OwnerAddress
CARNEGIE MELLON UNIVERSITY5000 FORBES AVENUE PITTSBURGH PA 15213
ROBERT BOSCH GMBHSTUTTGART GERMANY

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Fathony, Rizal Pittsburgh, US 2 0
Kolter, Jeremy Zieg Pittsburgh, US 21 33
Schmidt, Frank Leonberg, DE 173 1805

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