Evaluation of a training set

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United States of America Patent

PATENT NO 11176481
APP PUB NO 20170193052A1
SERIAL NO

15395261

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Abstract

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A computer-implemented method for assessing a potential divergence of an outcome predicted by a machine learning system including training a model on a first set of observations, each observation being associated with a target value, randomly generating a second set of observations, applying the trained model to the second set thereby obtaining a target value associated with each observation of the second set, indexing the first and second sets of observations and their associated target values into an index, receiving a first query allowing a selection of a subset of the first and second sets of observations, generating a second query, generating a third query that comprises the first query and an additional constraint, querying the index using the second and third queries, and returning a response to the second and third queries.

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Patent Owner(s)

  • DASSAULT SYSTEMES

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Grehant, Xavier Colombes, FR 10 46

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