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Marcus A Phillips, 38334 Oak Ridge Church Rd, Kershaw, SC 29067

Marcus Phillips Phones & Addresses

334 Oak Ridge Church Rd, Kershaw, SC 29067   

Monroe, NC   

Lancaster, SC   

Spartanburg, SC   

Lansdowne, PA   

Simpsonville, KY   

Mentions for Marcus A Phillips

Marcus Phillips resumes & CV records

Resumes

Marcus Phillips Photo 25

Marcus Phillips

Location:
United States
Marcus Phillips Photo 26

Electrial Superientenent At Morppm

Position:
electrial superientenent at morppm
Location:
Charlotte, North Carolina Area
Industry:
Electrical/Electronic Manufacturing
Work:
morppm
electrial superientenent
Marcus Phillips Photo 27

Strategic Marketing Manager At Pentair

Location:
Charlotte, North Carolina Area
Industry:
Machinery

Publications & IP owners

Us Patents

Automatically Recalibrating Risk Models

US Patent:
2011024, Oct 6, 2011
Filed:
Apr 4, 2011
Appl. No.:
13/079201
Inventors:
Kasilingam B. LAXMANAN - Wilmington DE, US
Sherri R. EMERY - Charlotte NC, US
Gerald F. PARISE - Cherry Hill NJ, US
Jomar C. UGARTE - Bear DE, US
Marcus PHILLIPS - Lincoln University PA, US
Jun NI - Newark DE, US
Assignee:
BANK OF AMERICA CORPORATION - CHARLOTTE NC
International Classification:
G06Q 10/00
G06F 17/10
US Classification:
705348, 703 2
Abstract:
Methods, computer readable media, and apparatuses for automatically recalibrating risk models are presented. An identifier of a modeling function may be received. The modeling function may have at least one input variable and a first set of one or more coefficients. Updated performance data that includes at least one input value corresponding to the at least one input variable may be received from a data source. Then, a second set of one or more coefficients may be calculated for the modeling function based on the updated performance data. If it is subsequently determined that the modeling function more accurately models the updated performance data when the second set of one or more coefficients is used in computing a result of the modeling function, then the first set of one or more coefficients may be replaced with the second set of one or more coefficients to recalibrate the modeling function.

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