Patent · US Active

Generalized reduced error logistic regression method

US8032473B2 · kind B2 · utility

3Cited by

1References

13Claims

0Family size

Inventor

Daniel Rice · Boulder, US

Key dates

Filing date	Jul 31, 2008
Grant date	Oct 4, 2011
Priority date	—
Expiry date	Mar 26, 2030

Classification

Technology area (CPC G)Physics
CPC primaryG06F18/24155
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A machine classification learning method titled Generalized Reduced Error Logistic Regression (RELR) is presented. The method overcomes significant limitations in prior art logistic regression and other machine classification learning methods. The method is applicable to all current applications of logistic regression, but has significantly greater accuracy using smaller sample sizes and larger numbers of input variables than other machine classification learning methods including prior art logistic regression.

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