Patent · US Active

Evolved machine learning models

US12020132B2 · kind B2 · utility

0Cited by

2References

20Claims

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	Aug 23, 2022
Grant date	Jun 25, 2024
Priority date	—
Expiry date	Aug 23, 2042

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.