Patent · US Active

Evolved machine learning models

US11475372B2 · kind B2 · utility

1Cited by

1References

19Claims

0Family size

Assignee

H2O.ai Inc. · US

Inventors

Arno Candel · San Jose, US
Dmitry Larko · San Ramon, US
SriSatish Ambati · Palo Alto, US
Prithvi Prabhu · Sunnyvale, US
Mark Landry · Chicopee, US
Jonathan C. McKinney · Palo Alto, US

Key dates

Filing date	Feb 27, 2019
Grant date	Oct 18, 2022
Priority date	—
Expiry date	May 31, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG06N20/10
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

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.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.