Evolved machine learning models

Number of patents in Portfolio can not be more than 2000

United States of America Patent

PATENT NO 11475372
APP PUB NO 20190295000A1
SERIAL NO

16287189

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ATTORNEY / AGENT: (SPONSORED)

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Abstract

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A plurality of initial machine learning models are determined based on a plurality of original features. The plurality of initial machine learning models are filtered by selecting a subset of the initial machine learning models as one or more surviving machine learning models. One or more evolved machine learning models are generated. At least one of the evolved machine learning models is based at least in part on one or more new features, which are based at least in part on a transformation of at least one of features of the one or more surviving machine learning models. Corresponding validation scores associated with the one or more evolved machine learning models and corresponding validation scores associated with the one or more surviving machine learning models are compared. At least one of the one or more evolved machine learning models or the one or more surviving machine learning models are selected as one or more new selected surviving machine learning models.

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Patent Owner(s)

  • H2O.AI INC.

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Ambati, SriSatish Palo Alto, US 5 72
Candel, Arno San Jose, US 2 19
Landry, Mark Round Rock, US 6 64
Larko, Dmitry San Ramon, US 2 19
McKinney, Jonathan C Palo Alto, US 2 19
Prabhu, Prithvi Sunnyvale, US 6 137

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