Selecting attributes by progressive sampling to generate digital predictive models

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United States of America

PATENT NO 11948094
SERIAL NO

17136727

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Abstract

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The present disclosure includes methods and systems for generating digital predictive models by progressively sampling a repository of data samples. In particular, one or more embodiments of the disclosed systems and methods identify initial attributes for predicting a target attribute and utilize the initial attributes to identify a coarse sample set. Moreover, the disclosed systems and methods can utilize the coarse sample set to identify focused attributes pertinent to predicting the target attribute. Utilizing the focused attributes, the disclosed systems and methods can identify refined data samples and utilize the refined data samples to identify final attributes and generate a digital predictive model.

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Patent Owner(s)

  • ADOBE INC.

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Tomko, Scott Lansdowne, US 2 2
Zhang, Wei Great Falls, US 2319 17796

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