Dynamically applying machine learning models from profiling received data

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United States of America Patent

PATENT NO 11763196
APP PUB NO 20210304057A1
SERIAL NO

16829224

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Abstract

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Methods, systems and computer readable media are provided for configuring machine learning systems to automatically and dynamically select a machine learning model based on statistical profiling of received data to improve machine learning applications for high variance data. Data is received from a system in operation. A profile is computed for the received data. A database comprising a plurality of stored profiles for a dataset is accessed, wherein each stored profile corresponds to a distinct pattern identified in the dataset. The computed profile is compared to each of the stored profiles to determine whether the computed profile matches one or more of the stored profiles. When one or more stored profiles match the computed profile, a matching profile is selected by the machine learning system. The received data is processed using a ML model associated with the matching profile.

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Patent Owner(s)

  • INTERNATIONAL BUSINESS MACHINE CORPORATION

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Adinarayan, Geetha Bangalore, IN 26 84
Ahmed, Mansoor Bangalore, IN 54 1054
Eledath, Nair Raghunath Bangalore, IN 4 1
Kundu, Sattwati Bangalore, IN 9 1

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