Patent · US Active

Meta-automated machine learning with improved multi-armed bandit algorithm for selecting and tuning a machine learning algorithm

US12056587B2 · kind B2 · utility

0Cited by

4References

20Claims

0Family size

Assignee

NEC CORPORATION · JP

Inventors

Mischa Schmidt · Heidelberg, DE
Julia Gastinger · Heidelberg, DE

Key dates

Filing date	Mar 20, 2023
Grant date	Aug 6, 2024
Priority date	—
Expiry date	Mar 21, 2043

Classification

Technology area (CPC G)Physics
CPC primaryG06N5/01
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A method for automated machine learning includes controlling execution of a plurality of instantiations of different automated machine learning frameworks on a machine learning task each as a separate arm in consideration of available computational resources and time budget. During the execution by the separate arms, a plurality of machine learning models are trained and performance scores of the plurality of trained machine learning models are computed such that one or more of the plurality of trained machine learning models are selectable for the machine learning task based on the performance scores. This invention can be used for predicting patient discharge, predictive control in buildings for energy optimization, and so on.

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