Patent · US Active

Categorical input machine learning models

US12008441B2 · kind B2 · utility

1Cited by
4References
20Claims
0Family size

Assignee

Inventors

Key dates

Filing dateJul 24, 2020
Grant dateJun 11, 2024
Priority date
Expiry dateFeb 1, 2043

Classification

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

Abstract

There is a need for more effective and efficient predictive data analysis based at least in part on categorical input data. This need can be addressed by, for example, solutions for performing predictive data analysis that utilize at least one of categorical level merging, mutual-information-based feature filtering, feature-correlation-based feature filtering to generate training data feature value arrangements, as well as training and using categorical input machine learning models trained using the training data feature value arrangements.

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