Invention Grant
- Patent Title: Self learning machine learning transaction scores adjustment via normalization thereof accounting for underlying transaction score bases
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Application No.: US17687827Application Date: 2022-03-07
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Publication No.: US11544715B2Publication Date: 2023-01-03
- Inventor: Pablo Ysrrael Abreu , Omar Gutierrez , Ali Haddad , Stansilav Palatnik , Lukas Dylan Osborne
- Applicant: Socure, Inc.
- Applicant Address: US NY New York
- Assignee: Socure, Inc.
- Current Assignee: Socure, Inc.
- Current Assignee Address: US NY New York
- Agency: Potomac Law Gorup, PLLC
- Agent Charles B. Lobsenz; Brian H. Buck
- Main IPC: G06Q20/40
- IPC: G06Q20/40
Abstract:
Provided are a system and methodology for iteratively transforming data, as between multiple sets thereof, that account for underlying data generation sources and bases. Doing so, via normalization of the data, enables uniformity of interpretation and presentation of the data no matter the machine learning model that produced the data.
Public/Granted literature
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